Download link
File List
-
Part 09-Module 02-Lesson 03_Project Optimize Histogram Filter/02. Nd113 Running The Project V1--X1pB-HTdnQ.mp4 80.41 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.mp4 54.58 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.mp4 50.21 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.mp4 39.15 MB
Part 04-Module 01-Lesson 01_Applying Deep Learning Models/02. Navegação de tráfico 3-az5ElmV4DhY.mp4 38.12 MB
Part 02-Module 01-Lesson 03_RNN's/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4 37.06 MB
Part 02-Module 01-Lesson 03_RNN's/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4 36.16 MB
Part 02-Module 01-Lesson 03_RNN's/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4 34.84 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 34.58 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.mp4 33.73 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/22. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4 33.67 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.mp4 28.86 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 28.37 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 27.08 MB
Part 02-Module 01-Lesson 03_RNN's/06. 07 FeedForward B V3-kTYbTVh1d0k.mp4 26.65 MB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 26.5 MB
Part 02-Module 01-Lesson 03_RNN's/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4 25.79 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4 24.88 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.mp4 24.79 MB
Part 02-Module 01-Lesson 03_RNN's/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4 24.26 MB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.mp4 24.21 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.mp4 23.76 MB
Part 01-Module 01-Lesson 02_Image Representation Classification/30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.mp4 23.75 MB
Part 01-Module 01-Lesson 02_Image Representation Classification/08. Images as Grids of Pixels-RVNiaZuv6Ss.mp4 22.58 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/19. Further Noise Reduction-Kl3hWxizKVg.mp4 22.33 MB
Part 02-Module 01-Lesson 03_RNN's/16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp4 22.11 MB
Part 02-Module 01-Lesson 03_RNN's/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp4 21.57 MB
Part 01-Module 01-Lesson 02_Image Representation Classification/26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.mp4 21.19 MB
Part 02-Module 01-Lesson 03_RNN's/13. 16 RNN B V4 Final-wsif3p5t7CI.mp4 21.12 MB
Part 02-Module 01-Lesson 03_RNN's/02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4 20.89 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4 20.67 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/05. Convolutional Layers (Part 2)-LX-yVob3c28.mp4 19.85 MB
Part 02-Module 01-Lesson 03_RNN's/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp4 19.68 MB
Part 02-Module 01-Lesson 03_RNN's/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4 18.1 MB
Part 02-Module 01-Lesson 03_RNN's/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp4 17.74 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/05. Framing the Problem-IsTOnkAKaJw.mp4 17.65 MB
Part 02-Module 01-Lesson 03_RNN's/04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4 17.27 MB
Part 02-Module 01-Lesson 03_RNN's/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4 17.23 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.mp4 15.94 MB
Part 02-Module 01-Lesson 03_RNN's/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp4 14.77 MB
Part 01-Module 01-Lesson 02_Image Representation Classification/21. Labeled Data and Accuracy-FN96OM_JGyM.mp4 14.66 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.mp4 14.62 MB
Part 01-Module 01-Lesson 02_Image Representation Classification/06. AffdexMe Demo-dpFtXDqakvY.mp4 13.96 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.mp4 13.81 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.mp4 13.61 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.mp4 13.28 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.mp4 13.16 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/01. 惯性导航-vWgG0d2HOVE.mp4 12.92 MB
Part 03-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.mp4 12.91 MB
Part 02-Module 01-Lesson 03_RNN's/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.mp4 12.76 MB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.mp4 12.76 MB
Part 02-Module 01-Lesson 02_YOLO/13. 10 Anchor Boxes V3-IzILYgVb76g.mp4 12.15 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/01. 01 Introduction To Attention V2-NCn97L5WbCY.mp4 12 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.mp4 11.98 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/23. Andrew Trask - Outro-nIF0GLOQglQ.mp4 11.79 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.mp4 11.65 MB
Part 01-Module 01-Lesson 02_Image Representation Classification/14. Coding A Blue Screen-jeeDryFxodk.mp4 11.4 MB
Part 03-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.mp4 10.96 MB
Part 01-Module 01-Lesson 05_Feature Vectors/08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.mp4 10.92 MB
Part 01-Module 01-Lesson 02_Image Representation Classification/02. 05. Emotional Intelligence-D_LzJsJH5qk.mp4 10.88 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.mp4 10.68 MB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.mp4 10.64 MB
Part 02-Module 01-Lesson 03_RNN's/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.mp4 10.5 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.mp4 10.49 MB
Part 02-Module 01-Lesson 03_RNN's/12. 14 RNN A V4 Final-ofbnDxGSUcg.mp4 10.43 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/11. Building a Neural Network-aM2k7RTjjJI.mp4 10.17 MB
Part 01-Module 01-Lesson 02_Image Representation Classification/23. Nd113 C7 29 L Features-HshygbfQylA.mp4 10.05 MB
Part 01-Module 01-Lesson 02_Image Representation Classification/17. Color Spaces and Transforms-B350aJVSsFc.mp4 9.9 MB
Part 02-Module 01-Lesson 07_Image Captioning/07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.mp4 9.89 MB
Part 01-Module 01-Lesson 05_Feature Vectors/11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.mp4 9.77 MB
Part 03-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.mp4 9.74 MB
Part 02-Module 01-Lesson 05_Hyperparameters/03. Learning Rate-HLMjeDez7ps.mp4 9.62 MB
Part 01-Module 01-Lesson 02_Image Representation Classification/10. Color Images--XbXiiGQ9gw.mp4 9.6 MB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/02. Corner Detectors-jemzDq07MEI.mp4 9.51 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.mp4 9.51 MB
Part 02-Module 01-Lesson 02_YOLO/03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.mp4 9.42 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/img/self-driving-uber-prototype-in-san-francisco.jpg 9.25 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/10. Mini Project 2 Solution-45ihpPaeO8E.mp4 9.22 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/embedding.gif 8.74 MB
Part 03-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.mp4 8.7 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/15. Approximating The Integral-9C05AHzI_I8.mp4 8.57 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.mp4 8.54 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.mp4 8.43 MB
Part 01-Module 01-Lesson 05_Feature Vectors/10. 07 Feature Matching V2-RH05Wnl1-2A.mp4 8.35 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.mp4 8.34 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/05. High-pass Filters-OpcFn_H2V-Q.mp4 8.25 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion-WhpE_8sTt-0.mp4 8.2 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.mp4 8.12 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.mp4 8.1 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.mp4 8.01 MB
Part 01-Module 01-Lesson 02_Image Representation Classification/04. 09. Training a Model-m4GVfwVkj74.mp4 8.01 MB
Part 09-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.mp4 7.96 MB
Part 01-Module 01-Lesson 05_Feature Vectors/07. 04 Brief V4-EKIPEPpRciw.mp4 7.91 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.mp4 7.91 MB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.mp4 7.76 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/20. Working with Real Data-WvEcWtAz-OQ.mp4 7.66 MB
Part 02-Module 01-Lesson 07_Image Captioning/09. 07 RNN Training V4-P-tHxD7kRmA.mp4 7.58 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/07. Regularization-ndYnUrx8xvs.mp4 7.57 MB
Part 01-Module 01-Lesson 02_Image Representation Classification/13. Color Thresholds-08ZlYZJaiUg.mp4 7.54 MB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.mp4 7.49 MB
Part 03-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.mp4 7.42 MB
Part 03-Module 01-Lesson 02_Robot Localization/38. Lesson Overview C++-lR3PH3bL-9U.mp4 7.4 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.mp4 7.4 MB
Part 03-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.mp4 7.39 MB
Part 02-Module 01-Lesson 03_RNN's/24. RNN Summary-nXP0oGGRrO8.mp4 7.26 MB
Part 01-Module 01-Lesson 05_Feature Vectors/05. 03 Fast V3-DCHAc6fjcVM.mp4 7.25 MB
Part 01-Module 01-Lesson 05_Feature Vectors/03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.mp4 6.97 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/15. Canny Edge Detection-Nm1H2xMMS3I.mp4 6.96 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/04. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.mp4 6.95 MB
Part 03-Module 01-Lesson 02_Robot Localization/04. 概率分布入门 2-PglBg4eb_5M.mp4 6.85 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/18. Rate Gyros-TmnecSf80b0.mp4 6.82 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/06. 05 Region Proposals V1 RENDER V2-HLwpr7h3rPY.mp4 6.75 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/18. ROC Curve-2Iw5TiGzJI4.mp4 6.66 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.mp4 6.66 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/08. Transforming Text into Numbers-7rHBU5cbePE.mp4 6.64 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/07. Creating a Filter-VEsdTRBH3D8.mp4 6.63 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/15. 10 Computer Vision Applications V3-bhWwc4BYTYc.mp4 6.62 MB
Part 02-Module 01-Lesson 02_YOLO/12. 09 NonMaximal Suppression V1-TE6M29Jo9hk.mp4 6.6 MB
Part 02-Module 01-Lesson 02_YOLO/07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.mp4 6.55 MB
Part 01-Module 01-Lesson 02_Image Representation Classification/28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.mp4 6.54 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Backpropagation V2-1SmY3TZTyUk.mp4 6.52 MB
Part 02-Module 01-Lesson 02_YOLO/14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.mp4 6.52 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.mp4 6.42 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.mp4 6.31 MB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/10. K-means Implementation-poKlg-aB4rU.mp4 6.26 MB
Part 03-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.mp4 6.21 MB
Part 03-Module 01-Lesson 01_Introduction to Motion/01. Object Tracking V4 (1)-ciEo6PyMTeM.mp4 6.11 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.mp4 6.1 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.mp4 6.09 MB
Part 02-Module 01-Lesson 02_YOLO/02. 02 YOLO Output V2-MyOuuwk0qC4.mp4 6.07 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.mp4 6.06 MB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/09. K-means Clustering-Cf_LSDCEBzk.mp4 6.06 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.mp4 6.03 MB
Part 02-Module 01-Lesson 07_Image Captioning/06. 05 The Glue V5-u2ZdcUDnHm0.mp4 6.02 MB
Part 02-Module 01-Lesson 02_YOLO/01. 01 Introduction V3-uyefSrHZesY.mp4 5.97 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/25. Solving Trig Problems Part1-qI4i845d7Qg.mp4 5.97 MB
Part 02-Module 01-Lesson 07_Image Captioning/01. 01 L Introduction V3-dobNslC2y-o.mp4 5.94 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp4 5.85 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/16. 11 Other Attention Methods V2-VmsR9FVpQiM.mp4 5.84 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/07. 06 RCNN V1 RENDER V2-EchapZJMTYU.mp4 5.84 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/09. Pooling Layers-OkkIZNs7Cyc.mp4 5.82 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/28. Conclusion-gMbDqd4ItiU.mp4 5.72 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 5.69 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/14. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.mp4 5.69 MB
Part 02-Module 01-Lesson 07_Image Captioning/03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.mp4 5.61 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.mp4 5.54 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/12. Validating The Training-Oxm9ofvov3I.mp4 5.51 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/11. Gaussian Blur-1tlPonqIOrU.mp4 5.51 MB
Part 03-Module 01-Lesson 02_Robot Localization/06. 05 Total Probability V4-RCEieE2t8U4.mp4 5.46 MB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.mp4 5.37 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/14. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.mp4 5.34 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 5.33 MB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/06. Image Contours-Wcbrl7Wr_kU.mp4 5.27 MB
Part 03-Module 01-Lesson 02_Robot Localization/03. Usando dados do sensor-vhl-SADfti8.mp4 5.21 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/10. Low-pass Filters-jy5Be9vf2rk.mp4 5.19 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.mp4 5.13 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/19. State Vector-st26ov_TVwM.mp4 5.12 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/10. Car Object-SnfhGZ76h7Y.mp4 5.12 MB
Part 03-Module 01-Lesson 01_Introduction to Motion/03. Motion -A-QJf04LBb0.mp4 5.05 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/24. Confusion Matrix-Question 1-9GLNjmMUB_4.mp4 5.04 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.mp4 5.03 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/07. Quantifying State-9zMbwSqTZAc.mp4 5.01 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.mp4 4.9 MB
Part 02-Module 01-Lesson 02_YOLO/05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.mp4 4.85 MB
Part 02-Module 01-Lesson 05_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.mp4 4.78 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.mp4 4.75 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.mp4 4.74 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. Combinando modelos-Boy3zHVrWB4.mp4 4.73 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/02. 02 Skin Cancer V4-70jGZeiTNgk.mp4 4.73 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.mp4 4.66 MB
Part 01-Module 01-Lesson 05_Feature Vectors/13. Histogram of Oriented Gradients-dqe9zGtxoNM.mp4 4.56 MB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/03. 3 HSA Course Outline V3 Demo01 1 V3-INMNyJGB2DI.mp4 4.56 MB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.mp4 4.55 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/19. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.mp4 4.54 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/20. Hough Line Detection-PVIUkQKbrUw.mp4 4.5 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/02. Architecture encoder decoder-dkHdEAJnV_w.mp4 4.49 MB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.mp4 4.47 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/01. Intro-1sm1EbfilXI.mp4 4.45 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/05. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.mp4 4.45 MB
Part 01-Module 01-Lesson 02_Image Representation Classification/07. Image Formation-6ZVnQYzfpis.mp4 4.42 MB
Part 03-Module 01-Lesson 02_Robot Localization/02. Reduzindo a incerteza-zuFMhmKQ--o.mp4 4.4 MB
Part 02-Module 01-Lesson 07_Image Captioning/05. 04 CNNRNN Model V3-n7kdMiX1Xz8.mp4 4.39 MB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/06. 4 HSA Learning In The Classroom V3 Demov1 V3-KN_SROb6SnM.mp4 4.32 MB
Part 03-Module 01-Lesson 02_Robot Localization/36. Sense And Move 2 Solution Director'SCut-7gl2GF-laOQ.mp4 4.32 MB
Part 03-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.mp4 4.29 MB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.mp4 4.28 MB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.mp4 4.26 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/16. Dropout-Ty6K6YiGdBs.mp4 4.22 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/08. Dropout-Ty6K6YiGdBs.mp4 4.22 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/01. 02 SLAM V1-UVkkDPJshgM.mp4 4.18 MB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.mp4 4.17 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/13. 09 Additive Attention V2-93VfVWZ-IvY.mp4 4.17 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/01. 矩阵介绍-Ugx3mldc0lE.mp4 4.15 MB
Part 02-Module 01-Lesson 05_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.mp4 4.12 MB
Part 03-Module 01-Lesson 01_Introduction to Motion/06. 02 Brightness Constancy Assumption V3-GHz9Yzt5tro.mp4 4.1 MB
Part 03-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.mp4 4.1 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/01. Introducing Andrew Trask-ltO71Bm8b3M.mp4 4.08 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/01. Localization Steps-4SiMoSTf4rQ.mp4 4.06 MB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.mp4 4.05 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/03. LSTM Basics-gjb68a4XsqE.mp4 4.03 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4 3.95 MB
Part 02-Module 01-Lesson 02_YOLO/10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.mp4 3.89 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.mp4 3.88 MB
Part 01-Module 01-Lesson 02_Image Representation Classification/01. 01 Pattern Recognition V1-cX5EE1WEqhY.mp4 3.87 MB
Part 02-Module 01-Lesson 07_Image Captioning/11. 09 On To The Project V2-MsxNRaYTNSk.mp4 3.87 MB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.mp4 3.8 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.mp4 3.76 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/11. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.mp4 3.76 MB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.mp4 3.75 MB
Part 03-Module 01-Lesson 01_Introduction to Motion/08. 04 Tracking Features V2-uFf6IZ5MxgU.mp4 3.74 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/09. Always Moving-EQBQlHvxAQA.mp4 3.65 MB
Part 03-Module 01-Lesson 01_Introduction to Motion/05. 01 Motion Vector V2-I3f3IEUI2tg.mp4 3.64 MB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.mp4 3.58 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/02. RNN Vs LSTM-70MgF-IwAr8.mp4 3.58 MB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.mp4 3.57 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/screen-shot-2016-11-24-at-12.09.24-pm.png 3.49 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/28. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.mp4 3.49 MB
Part 03-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.mp4 3.47 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/23. What Is The Neural Network Looking At-qN-rvoxPbBw.mp4 3.46 MB
Part 02-Module 01-Lesson 05_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp4 3.4 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/12. IoU---9BTjOsO6U.mp4 3.36 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/23. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.mp4 3.35 MB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/01. Types Of Features-cJHro29nzgg.mp4 3.33 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.mp4 3.32 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Calculating The Gradient 1 -tVuZDbUrzzI.mp4 3.31 MB
Part 03-Module 01-Lesson 02_Robot Localization/33. 27 Sense And Move V2-v2dYzm6-YVs.mp4 3.28 MB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.mp4 3.27 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/24. Working With Matrices-nruxu8pr6i8.mp4 3.27 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/18. Hough Transform-RIOzsF1_xuo.mp4 3.25 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/15. Outro-vyNI5hdMigs.mp4 3.25 MB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.mp4 3.25 MB
Part 02-Module 01-Lesson 07_Image Captioning/08. Tokenization-4Ieotbeh4u8.mp4 3.22 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/18. 16 Introducing Noise Solution RENDER V1-X5kh82oke5w.mp4 3.21 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/20. State Transformation Matrix-DRRuQMYo800.mp4 3.21 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/13. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.mp4 3.2 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/06. 04 Attention Overview Decoding V2-DJxiPd585GY.mp4 3.2 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/09. 06 Attention Decoder V1-5mMz6nN9_Ss.mp4 3.15 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. Layers-pg99FkXYK0M.mp4 3.11 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/screen-shot-2016-11-24-at-12.09.02-pm.png 3.09 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.mp4 3.08 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/25. Confusion Matrix-3rpN-YYlfes.mp4 3.07 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/23. Haar Cascades-vALIpxVfKRc.mp4 3.05 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.mp4 3.04 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/19. 17 Confident Measurements QUIZ RENDER V2-WRANOBm89I4.mp4 3.03 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/03. Fully Convolutional Networks-_Lh2ozg5yTs.mp4 3 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/08. 07 Fast RCNN V1 RENDER V2-6FOBZ9OgWlY.mp4 3 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/09. 08 Faster RCNN V1 RENDER V2-ySh_Q3KTTBY.mp4 2.99 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.mp4 2.96 MB
Part 01-Module 01-Lesson 05_Feature Vectors/04. 02 Introduction To ORB V3-WN37zcMhMas.mp4 2.91 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/screen-shot-2016-11-24-at-12.08.11-pm.png 2.9 MB
Part 02-Module 01-Lesson 02_YOLO/06. 05 Training On A Grid V2-uhefpakvXh8.mp4 2.89 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/13. Character-Wise RNN-m_S2hs6-j5w.mp4 2.88 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/08. Lesson Outline-jh7wLGXrm3E.mp4 2.86 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/05. The Data-2RLbbV7MQNA.mp4 2.85 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/20. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.mp4 2.84 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.mp4 2.83 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 2.83 MB
Part 01-Module 01-Lesson 02_Image Representation Classification/03. 08. Computer Vision Pipeline-64hFcqhnNow.mp4 2.79 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.mp4 2.71 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/21. ROC Curve-fWwe_JlpnlQ.mp4 2.68 MB
Part 03-Module 01-Lesson 01_Introduction to Motion/02. Localization V1 (1)-QkVyEMTUkAw.mp4 2.62 MB
Part 02-Module 01-Lesson 07_Image Captioning/10. 08 Video Captioning V1-I_m9JyKTfbQ.mp4 2.61 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.mp4 2.57 MB
Part 02-Module 01-Lesson 07_Image Captioning/02. 02 Leveraging Neural Networks V3-thClOUTiNxY.mp4 2.56 MB
Part 03-Module 01-Lesson 02_Robot Localization/04. 概率分布入门 1-gqPjMDVFvNg.mp4 2.55 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.mp4 2.53 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/11. Scene Understanding-aMQREc-mP50.mp4 2.52 MB
Part 03-Module 01-Lesson 02_Robot Localization/05. 03 Localization V1-OB6GZxfvESw.mp4 2.52 MB
Part 01-Module 01-Lesson 05_Feature Vectors/02. Feature Vectors--PF1_MITrOw.mp4 2.5 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/02. Applications seq2seq-tDJBDwriJYQ.mp4 2.48 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/04. 04 Implementing Constraints Quiz V1-2V3ZF08TcX8.mp4 2.46 MB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-10-27-at-1.29.13-pm.png 2.45 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/22. Visualization-aGIGB4Ta3_A.mp4 2.43 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/08. 05 Attention Encoder V2-sphe9LDT4rA.mp4 2.41 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/screen-shot-2018-04-24-at-12.58.16-pm.png 2.39 MB
Part 02-Module 01-Lesson 08_Project Image Captioning/img/image-captioning.png 2.37 MB
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.mp4 2.37 MB
Part 03-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.mp4 2.34 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.mp4 2.31 MB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.mp4 2.31 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/12. Other Activation Functions-kA-1vUt6cvQ.mp4 2.3 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/14. Sequence Batching-pdSr5F-9qE0.mp4 2.29 MB
Part 03-Module 01-Lesson 02_Robot Localization/08. 09 Probability After Sense V1-aWQMJQQmNGw.mp4 2.23 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/06. Learn Gate-aVHVI7ovbHY.mp4 2.22 MB
Part 02-Module 01-Lesson 05_Hyperparameters/02. Introduction-erwnzFD7AeE.mp4 2.22 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.mp4 2.2 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/04. Medical Classification-RCOSP60dV7U.mp4 2.2 MB
Part 03-Module 01-Lesson 03_Mini-project 2D Histogram Filter/01. Project Overview-uaWZNKGTtgM.mp4 2.17 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/16. 动量-r-rYz_PEWC8.mp4 2.14 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/15. Momentum-r-rYz_PEWC8.mp4 2.14 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.mp4 2.14 MB
Part 03-Module 01-Lesson 01_Introduction to Motion/04. Optical Flow-TOS8UJwCtTg.mp4 2.13 MB
Part 03-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.mp4 2.11 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/24. Trigonometry And Vehicle Motion-WY3T-9GHI_0.mp4 2.09 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/03. Motion Models-qSdbn_PVQnk.mp4 2.07 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/03. Testing-EeBZpb-PSac.mp4 2 MB
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.mp4 1.99 MB
Part 03-Module 01-Lesson 02_Robot Localization/25. 20 Inexact Motion 1 V3-hHAwFNsIp1c.mp4 1.97 MB
Part 03-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.mp4 1.93 MB
Part 02-Module 01-Lesson 02_YOLO/09. 07 Too Many Boxes V2-nYDWsFdFnQ8.mp4 1.89 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. Multiclass Classification-uNTtvxwfox0.mp4 1.88 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.mp4 1.84 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/09. Semantic Segmentation-_L5gJnZrw48.mp4 1.74 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.mp4 1.73 MB
Part 02-Module 01-Lesson 07_Image Captioning/img/screen-shot-2018-05-03-at-3.15.20-pm.png 1.73 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/05. 03 Attention Overview Encoding V2-IctAnMaVUKc.mp4 1.73 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4 1.72 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/16. Other Architectures-MsxFDuYlTuQ.mp4 1.71 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/06. Skip Connections-JUYLA5PWzo0.mp4 1.69 MB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.mp4 1.66 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/skin-disease-classes.png 1.64 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.mp4 1.63 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/10. Putting It All Together-IF8FlKW-Zo0.mp4 1.58 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.mp4 1.58 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivty And Specificity-GBZjyeMjKxc.mp4 1.57 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/lesions.png 1.57 MB
Part 03-Module 01-Lesson 02_Robot Localization/17. 16 Test Sense Function V1-gytbuOI9-3g.mp4 1.57 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/01. Introduction-ZCpXvVdIdnY.mp4 1.55 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/05. A Different Model-Mh0g-SMpMI4.mp4 1.55 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/03. Survival Rate-QPlp3NeGuSk.mp4 1.52 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.mp4 1.52 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.mp4 1.5 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/09. LSTM 7 Use Gate-5Ifolm1jTdY.mp4 1.5 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges-1z3o4niQuNg.mp4 1.49 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/07. FCNs In The Wild-q9wTd53-hsw.mp4 1.47 MB
Part 02-Module 01-Lesson 05_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.mp4 1.46 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/06. 06 Image Challenge V3-Efnoj1KNPHw.mp4 1.46 MB
Part 02-Module 01-Lesson 03_RNN's/09. Regra da cadeia-YAhIBOnbt54.mp4 1.46 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Chain Rule-YAhIBOnbt54.mp4 1.46 MB
Part 04-Module 01-Lesson 01_Applying Deep Learning Models/img/screen-shot-2018-04-24-at-12.27.00-am.png 1.41 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/img/screen-shot-2018-05-03-at-4.34.25-pm.png 1.38 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.mp4 1.37 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/t-sne-mnist.png 1.32 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/11. Vanishing Gradient-W_JJm_5syFw.mp4 1.32 MB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/10. Moving Forward V4-E35QVmp1f2k.mp4 1.26 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/09. Training The Neural Network-HwiI-UXUx-M.mp4 1.24 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/17. 15 Introducing Noise QUIZ RENDER V1-E_OI5DinFA0.mp4 1.23 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/screen-shot-2018-04-19-at-2.42.19-pm.png 1.21 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/08. Bounding Boxes-uPv4d0Xl8hc.mp4 1.2 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.mp4 1.2 MB
Part 09-Module 01-Lesson 05_Python and C++ Speed/01. Introduction-JklGKdn3_go.mp4 1.19 MB
Part 03-Module 01-Lesson 02_Robot Localization/29. 24 Limit Distribution Quiz V3-NJvalJwjz18.mp4 1.15 MB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/img/screen-shot-2018-04-19-at-4.24.35-pm.png 1.15 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.mp4 1.15 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.mp4 1.15 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.mp4 1.14 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/02. Intro To State-zfilXYrW4Gk.mp4 1.13 MB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-12.31.11-pm.png 1.12 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve-sdUUf6RRmXI.mp4 1.11 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.mp4 1.11 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/img/animatedgears.gif 1.1 MB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-10-11-at-2.04.14-pm.png 1.1 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/04. LSTM Architecture-ycwthhdx8ws.mp4 1.07 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/08. 08 Matrix Modification Quiz V1-e3zpWlM9IRg.mp4 1.06 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/screen-shot-2018-04-23-at-11.34.35-pm.png 1.05 MB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-03-at-10.43.49-pm.png 1.05 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/07. Forget Gate-iWxpfxLUPSU.mp4 1.04 MB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-11.12.31-am.png 1.03 MB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-11.16.19-am.png 1.02 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.mp4 1.01 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.mp4 988.79 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/02. Why Neural Networks-zAkzOZntK6Y.mp4 982.27 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-11.14.30-am.png 980.68 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.mp4 927.05 KB
Part 02-Module 01-Lesson 07_Image Captioning/img/screen-shot-2018-05-03-at-3.12.38-pm.png 924.32 KB
Part 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.mp4 922.19 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/img/screen-shot-2018-04-05-at-4.45.16-pm.png 910.25 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-10-at-9.12.16-pm.png 898.01 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/nature.png 893.03 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.mp4 888.58 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/05. 05 Implementing Constraints Solution V1-uLmGavXEN64.mp4 885.75 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/img/screen-shot-2018-05-27-at-12.11.20-am.png 871.85 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-12.49.13-pm.png 871.76 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/05. Transposed Convolutions-K6mlLX8ZZDs.mp4 870.48 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/screen-shot-2018-04-24-at-3.32.28-pm.png 866.01 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.mp4 862.5 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.mp4 819.86 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-12.49.52-pm.png 806.66 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/06. 06 Adding Landmarks Quiz V1-_JUCLtoh1CE.mp4 793.62 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/img/screen-shot-2018-05-03-at-1.04.27-pm.png 786.55 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/diag-stripes.png 779.84 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.mp4 768.11 KB
Part 01-Module 01-Lesson 05_Feature Vectors/img/screen-shot-2018-04-19-at-4.47.30-pm.png 760.56 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-29-at-3.49.20-pm.png 758.55 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/screen-shot-2018-04-23-at-8.35.17-pm.png 736.49 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/screen-shot-2018-04-24-at-5.08.36-pm.png 720.21 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/img/screen-shot-2018-04-23-at-4.10.20-pm.png 716.56 KB
Part 03-Module 01-Lesson 02_Robot Localization/21. 18 Exact Motion V1-mNXm1wjTumY.mp4 708.57 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-2.04.54-pm.png 696.35 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.mp4 677.46 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/08. Remember Gate-0qlm86HaXuU.mp4 676.91 KB
Part 02-Module 01-Lesson 02_YOLO/img/diapositiva1.png 670.01 KB
Part 02-Module 01-Lesson 02_YOLO/img/diapositiva2.png 669.4 KB
Part 02-Module 01-Lesson 02_YOLO/img/diapositiva3.png 637.93 KB
Part 02-Module 01-Lesson 02_YOLO/img/last.png 630.47 KB
Part 01-Module 01-Lesson 07_Project Facial Keypoint Detection/img/screen-shot-2018-04-10-at-8.24.14-pm.png 626.56 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.mp4 609.67 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/screen-shot-2017-06-23-at-5.41.04-pm.png 576.62 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/cat-3.png 575.91 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.mp4 574.57 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/img/screen-shot-2018-03-23-at-4.52.35-pm.png 573.85 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/img/roi-pooling-gif.gif 565.36 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.mp4 540.98 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.mp4 526.05 KB
Part 03-Module 01-Lesson 02_Robot Localization/10. 11 Normalize Distribution V1-ZGvmFn_u56o.mp4 522.8 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-29-at-3.51.44-pm.png 518.88 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/screen-shot-2018-04-23-at-8.35.25-pm.png 518.22 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/screen-shot-2018-04-06-at-4.54.39-pm.png 494.36 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-12.10.02-pm.png 478.46 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/img/screen-shot-2018-03-19-at-3.49.28-pm.png 471.61 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/img/screen-shot-2018-03-19-at-3.49.28-pm.png 471.61 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/img/screen-shot-2018-05-03-at-2.40.39-pm.png 468.69 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/threshold.png 468.31 KB
assets/img/udacimak.png 461.07 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.mp4 451.32 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/screen-shot-2018-04-24-at-12.47.51-pm.png 450.92 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/img/screen-shot-2018-03-19-at-2.49.57-pm.png 442.46 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/img/screen-shot-2017-11-26-at-9.38.24-am.png 440.9 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/img/screen-shot-2018-03-23-at-4.50.34-pm.png 438.24 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/img/study-group.png 415.28 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/img/screen-shot-2017-11-26-at-9.55.20-am.png 414.22 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/img/screen-shot-2018-05-29-at-9.45.55-am.png 406.33 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/18. Images-1GdiN5Wc8LA.mp4 395.42 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/img/screen-shot-2018-04-23-at-4.14.19-pm.png 395.38 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/10. Random Restart-idyBBCzXiqg.mp4 394.99 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/screen-shot-2018-04-24-at-12.35.07-pm.png 391.75 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/screen-shot-2018-04-24-at-5.08.30-pm.png 388.86 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-11.48.22-am.png 386.52 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/img/screen-shot-2018-05-25-at-10.42.15-am.png 381.85 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/screen-shot-2018-04-19-at-3.18.06-pm.png 380.06 KB
Part 02-Module 01-Lesson 07_Image Captioning/img/screen-shot-2018-05-03-at-3.09.44-pm.png 371.61 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-27-at-3.46.35-pm.png 367.04 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2018-01-02-at-2.27.51-pm.png 362.57 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-06-at-1.40.14-pm.png 361.16 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-3.45.03-pm.png 351.54 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-03-at-11.34.41-pm.png 347.44 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-3.22.39-pm.png 346.74 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-29-at-3.08.28-pm.png 334.55 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-08-at-3.43.34-pm.png 316.84 KB
Part 03-Module 01-Lesson 02_Robot Localization/img/screen-shot-2018-05-02-at-10.06.44-pm.png 313.49 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/alexis.jpg 313.46 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-4.51.08-pm.png 313.39 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/screen-shot-2018-04-19-at-1.44.37-pm.png 311.21 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/confusion-matrix.png 310.94 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/img/screen-shot-2018-04-23-at-4.05.20-pm.png 289.67 KB
Part 03-Module 01-Lesson 02_Robot Localization/img/screen-shot-2018-05-03-at-11.13.10-am.png 288.4 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/screen-shot-2018-05-31-at-3.21.06-pm.png 277.59 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/img/screen-shot-2018-01-08-at-5.38.03-am.png 276.13 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.mp4 273.59 KB
Part 02-Module 01-Lesson 02_YOLO/img/screen-shot-2018-05-03-at-5.58.54-pm.png 271.21 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-10-30-at-10.54.50-am.png 269.96 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/03. QUIZ Another Prediction 01 RENDER V1-wdSkHh-6U4Y.mp4 267.66 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/img/screen-shot-2018-05-27-at-12.28.05-am.png 261.02 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/img/screen-shot-2017-12-18-at-8.09.57-pm.png 260.75 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/img/screen-shot-2018-05-27-at-12.21.26-am.png 259.97 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/img/screen-shot-2017-12-18-at-5.41.01-pm.png 255.27 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/img/screen-shot-2018-05-27-at-12.33.42-am.png 254.52 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/screen-shot-2018-04-24-at-1.12.46-am.png 250.64 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-11.23.49-pm.png 246.93 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/img/screen-shot-2018-03-23-at-3.59.04-pm.png 239.82 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/img/screen-shot-2018-05-31-at-4.17.51-pm.png 238.35 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2018-01-02-at-2.49.43-pm.png 233.63 KB
assets/js/katex.min.js 231.26 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/cat-2.jpeg 231.25 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/cat-1.jpeg 230.78 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/img/screen-shot-2018-03-23-at-4.51.33-pm.png 230.75 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-27-at-1.58.01-pm.png 229.98 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-06-at-2.38.51-pm.png 225.33 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/img/screen-shot-2018-05-31-at-4.02.08-pm.png 223.85 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/screen-shot-2018-06-21-at-1.39.47-pm.png 218.31 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/img/stop-sign-classification.png 211.5 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/img/meme.png 209.05 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/img/screen-shot-2018-05-29-at-10.15.13-am.png 203.16 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-3.51.18-pm.png 198.22 KB
Part 02-Module 01-Lesson 02_YOLO/img/screen-shot-2018-05-03-at-6.10.29-pm.png 197.69 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/img/screen-shot-2017-06-13-at-12.58.03-pm.png 196.32 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/img/screen-shot-2017-03-13-at-12.36.54-pm.png 193 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/screen-shot-2018-05-31-at-2.59.36-pm.png 192.67 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-3.37.30-pm.png 192.09 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/media/monkey-doctor.png 189.92 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/img/p2-limit-increase.png 188.22 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/img/matrix-addition.png 186.56 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/new-confusion-matrix.png 186.16 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-27-at-3.44.20-pm.png 180.98 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/screen-shot-2018-04-24-at-4.49.51-pm.png 176.53 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/img/screen-shot-2018-05-03-at-3.44.59-pm.png 173.04 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/vgg-16.png 172.87 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/haar-2-gif.gif 170.1 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/screen-shot-2018-05-31-at-3.06.07-pm.png 169.94 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-29-at-5.33.53-pm.png 169.63 KB
Part 03-Module 01-Lesson 09_Project Landmark Detection Tracking (SLAM)/img/robot-world.png 167.67 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-06-at-2.09.07-pm.png 164.04 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-21-at-4.14.45-pm.png 163.9 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/img/screen-shot-2018-05-31-at-4.04.15-pm.png 163.59 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/screen-shot-2018-05-31-at-3.43.06-pm.png 162.58 KB
Part 01-Module 01-Lesson 05_Feature Vectors/img/screen-shot-2018-04-23-at-5.52.20-pm.png 162.4 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-4.29.49-pm.png 160.71 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-21-at-3.49.24-pm.png 159.51 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/precision-recall.png 156.71 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/sensitivity-specificity.png 155.14 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-4.32.19-pm.png 152.53 KB
index.html 151.42 KB
Part 03-Module 01-Lesson 02_Robot Localization/img/prob-dists.png 149.66 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/img/screen-shot-2018-05-08-at-3.20.31-pm.png 148.35 KB
Part 02-Module 01-Lesson 08_Project Image Captioning/img/workspaces-submit.png 146.2 KB
Part 02-Module 01-Lesson 08_Project Image Captioning/img/workspaces-gpu.png 145.5 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/img/screen-shot-2018-04-06-at-2.39.31-pm.png 145.17 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/img/screen-shot-2017-11-26-at-10.30.15-am.png 145.1 KB
Part 02-Module 01-Lesson 08_Project Image Captioning/img/workspaces-notebook.png 142.9 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2018-05-07-at-4.20.50-pm.png 141.97 KB
Part 03-Module 01-Lesson 02_Robot Localization/img/sense-move.png 140.53 KB
assets/css/bootstrap.min.css 137.64 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/screen-shot-2017-06-26-at-3.11.58-pm.png 137.44 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/roc-curves.png 137.28 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-5.00.26-pm.png 135.65 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/img/screen-shot-2018-07-17-at-12.03.58-pm.png 132.95 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/sample-confusion-matrix.png 130.52 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/img/p2xlarge-limit-request.png 129.66 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-02-at-11.03.45-pm.png 129.43 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-10-27-at-6.29.49-pm.png 129.29 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-4.37.05-pm.png 126.82 KB
assets/js/plyr.polyfilled.min.js 126.16 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/img/14-landmarkposition-v3.png 124.61 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/img/switch.png 122.84 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/screen-shot-2018-04-24-at-12.07.41-pm.png 122.72 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/img/screen-shot-2018-04-06-at-2.28.09-pm.png 114.81 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/img/cover.jpg 113.63 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-4.15.46-pm.png 113.47 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-4.04.18-pm.png 111.86 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-27-at-2.00.15-pm.png 110.26 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-4.06.03-pm.png 109.97 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-03-at-11.36.39-pm.png 109.7 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-17-at-5.38.55-pm.png 108.05 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/img/screen-shot-2018-05-31-at-4.06.11-pm.png 105.58 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-4.05.55-pm.png 104.63 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/img/screen-shot-2018-05-31-at-4.10.13-pm.png 103.21 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-05-at-12.09.13-pm.png 102.6 KB
Part 03-Module 01-Lesson 02_Robot Localization/img/screen-shot-2018-05-02-at-10.04.31-pm.png 101.25 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/img/screen-shot-2018-03-23-at-4.04.35-pm.png 98.98 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-27-at-1.46.43-pm.png 94.9 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/img/matrix-multiplication-step4.png 94.2 KB
Part 02-Module 01-Lesson 08_Project Image Captioning/img/workspaces-menu.png 93.96 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/img/screen-shot-2018-05-03-at-1.01.46-pm.png 90.77 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/screen-shot-2018-04-19-at-1.43.30-pm.png 90.43 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/img/matrix-multiplication-transpose-1.png 88.37 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/img/regularization-quiz.png 87.9 KB
Part 09-Module 01-Lesson 02_C++ Vectors/img/copy-of-template.png 86.55 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/screen-shot-2017-06-26-at-2.35.11-pm.png 86.06 KB
Part 02-Module 01-Lesson 08_Project Image Captioning/img/workspaces-new.png 85.21 KB
assets/js/jquery-3.3.1.min.js 84.89 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/img/matrix-multiplication-step2.png 84.51 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/img/matrix-multiplication-step1.png 83.72 KB
Part 02-Module 01-Lesson 08_Project Image Captioning/img/workspaces-jupyter.png 83.54 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/screen-shot-2018-04-24-at-5.47.43-pm.png 81.13 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-27-at-1.43.36-pm.png 80.86 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-02-at-10.29.14-pm.png 79.28 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/img/matrix-multiplication-identity-1.png 78.96 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/roc.png 78.96 KB
Part 04-Module 01-Lesson 01_Applying Deep Learning Models/img/flappy-bird.jpg 76.23 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/img/odometer.jpg 76.02 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-09-01-at-5.23.18-pm.png 75.91 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/img/copy-of-template-2.png 75.84 KB
Part 03-Module 01-Lesson 02_Robot Localization/img/coins.png 75.75 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/img/screen-shot-2018-05-31-at-3.54.39-pm.png 72.75 KB
Part 02-Module 01-Lesson 02_YOLO/img/diapositiva5-1.png 72.3 KB
Part 02-Module 01-Lesson 02_YOLO/img/diapositiva8-1.png 71.95 KB
Part 02-Module 01-Lesson 02_YOLO/img/diapositiva6-1.png 71.89 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/img/screen-shot-2017-06-30-at-3.22.40-pm.png 71.71 KB
Part 02-Module 01-Lesson 02_YOLO/img/diapositiva7-1.png 71.36 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/img/screen-shot-2017-11-16-at-5.54.40-pm.png 71.35 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/img/notebook.png 70.26 KB
img/robo-interacting-with-robo-hardware.jpg 69.96 KB
assets/css/fonts/KaTeX_AMS-Regular.ttf 69.75 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-30-at-4.40.57-pm.png 69.63 KB
Part 04-Module 01-Lesson 01_Applying Deep Learning Models/img/grokking-deep-learning.jpg 69.52 KB
Part 02-Module 01-Lesson 02_YOLO/img/diapositiva4.jpg 69.26 KB
Part 03-Module 01-Lesson 02_Robot Localization/img/screen-shot-2018-05-02-at-10.10.16-pm.png 69.25 KB
Part 03-Module 01-Lesson 02_Robot Localization/img/cplus.png 68.63 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-30-at-4.41.08-pm.png 68.49 KB
assets/css/fonts/KaTeX_Main-Regular.ttf 68.43 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/img/matrix-multiplication-identity-reverse.png 67.6 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-21-at-4.17.19-pm.png 67.13 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-21-at-4.17.35-pm.png 66.8 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-05-at-11.55.58-am.png 65.27 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-10-06-at-2.47.00-pm.png 64.48 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2018-01-16-at-2.40.57-pm.png 62.57 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-11.42.56-am.png 61.24 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-01-at-1.48.59-pm.png 61.06 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-11.50.40-am.png 61.02 KB
assets/css/fonts/KaTeX_Main-Bold.ttf 60.27 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/img/copy-of-template-1.png 59.7 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-11.37.27-am.png 59.04 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-21-at-4.10.56-pm.png 58.73 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/screen-shot-2018-05-31-at-3.31.32-pm.png 58.02 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-21-at-3.45.50-pm.png 57.92 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/img/screen-shot-2018-03-23-at-4.05.32-pm.png 57.68 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-27-at-2.44.11-pm.png 56.84 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/img/while.png 56.8 KB
Part 09-Module 01-Lesson 02_C++ Vectors/img/vectors.png 56.36 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-09-06-at-12.01.37-pm.png 54.93 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-21-at-4.08.59-pm.png 54.16 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-21-at-3.44.15-pm.png 54.1 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/img/screen-shot-2017-06-30-at-4.30.11-pm.png 54.04 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-02-at-11.06.19-pm.png 53.42 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/img/screen-shot-2017-06-30-at-4.37.13-pm.png 52.76 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/screen-shot-2018-05-31-at-3.07.03-pm.png 52.08 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-27-at-3.48.31-pm.png 51.7 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/img/for.png 50.99 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/img/screen-shot-2017-06-26-at-10.44.50-am.png 50.6 KB
assets/js/bootstrap.min.js 49.85 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-06-at-4.12.59-pm.png 49.25 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-02-at-10.58.26-pm.png 48.81 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-09-03-at-2.53.30-pm.png 48.64 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-21-at-4.07.21-pm.png 48.1 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-21-at-3.42.29-pm.png 47.82 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/img/stop.png 47.54 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-09-01-at-4.55.27-pm.png 47.5 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/img/screen-shot-2017-12-15-at-2.58.22-pm.png 47.39 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/img/menuopen.jpg 47.04 KB
Part 02-Module 01-Lesson 08_Project Image Captioning/img/workspaces-terminal.png 46.91 KB
assets/css/fonts/KaTeX_Main-Italic.ttf 46.83 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-09-01-at-4.59.24-pm.png 46.82 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/sample-roc-curve.png 46.33 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/layer-1-grid.png 45.73 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/img/screen-shot-2018-03-23-at-4.02.58-pm.png 45.61 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/img/screen-shot-2017-11-16-at-4.31.41-pm.png 44.91 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-09-01-at-5.03.57-pm.png 44.63 KB
assets/js/jquery.mCustomScrollbar.concat.min.js 44.41 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-09-03-at-2.47.09-pm.png 44.07 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-02-at-10.46.12-pm.png 43.99 KB
assets/css/fonts/KaTeX_Main-BoldItalic.ttf 43.77 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-21-at-4.21.41-pm.png 43.2 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-21-at-3.38.11-pm.png 42.82 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/img/transpose-1.png 42.02 KB
assets/css/jquery.mCustomScrollbar.min.css 41.83 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/img/aws-add-sec-group.png 41.71 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-3.54.17-pm.png 41.68 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/img/transpose-2.png 41.63 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-10-06-at-2.10.13-pm.png 41.27 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/img/screen-shot-2017-11-16-at-4.26.22-pm.png 41.24 KB
assets/css/fonts/KaTeX_Math-Italic.ttf 40.48 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/img/untitled-drawing.jpg 40.28 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/screen-shot-2018-04-24-at-12.08.02-pm.png 39.75 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/img/emptyterminal.jpg 39.65 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/img/texteditor.jpg 39.44 KB
assets/css/fonts/KaTeX_AMS-Regular.woff 39.26 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-09-at-6.01.16-pm.png 39.12 KB
assets/css/fonts/KaTeX_Math-BoldItalic.ttf 38.81 KB
assets/css/fonts/KaTeX_Main-Regular.woff 38.52 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/img/screen-shot-2018-03-23-at-3.57.38-pm.png 37.9 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-09-03-at-11.03.31-am.png 37.42 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-09-03-at-11.40.37-am.png 37.34 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-01-at-3.38.43-pm.png 37.05 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/img/menu.jpg 36.29 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/img/files.jpg 36.25 KB
assets/css/fonts/KaTeX_Main-Bold.woff 35.89 KB
assets/css/fonts/KaTeX_Typewriter-Regular.ttf 35.46 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/grid-layer-1.png 35.3 KB
assets/css/fonts/KaTeX_Fraktur-Bold.ttf 35.13 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-09-at-3.53.12-pm.png 35.08 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/img/cli.jpg 35.01 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-09-01-at-6.33.03-pm.png 34.45 KB
assets/css/fonts/KaTeX_Fraktur-Regular.ttf 33.84 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-10-06-at-2.53.07-pm.png 33.53 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-10-06-at-2.54.11-pm.png 33.46 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-01-at-4.47.47-pm.png 33.26 KB
assets/css/fonts/KaTeX_SansSerif-Bold.ttf 33.23 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/img/screen-shot-2018-01-08-at-5.37.22-am.png 33.23 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-09-27-at-1.55.25-pm.png 33.23 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-10-06-at-2.03.22-pm.png 33.08 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-05-at-12.16.55-pm.png 32.54 KB
assets/css/fonts/KaTeX_AMS-Regular.woff2 32.43 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-09-01-at-6.31.45-pm.png 32.18 KB
assets/css/fonts/KaTeX_Main-Regular.woff2 32.09 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-10-18-at-11.52.10-am.png 31.82 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/roc-curve.png 31.48 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-10-06-at-2.51.24-pm.png 31.2 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-09-28-at-2.48.41-pm.png 31.16 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-09-28-at-2.47.09-pm.png 31.03 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-10-06-at-2.50.12-pm.png 30.99 KB
assets/css/fonts/KaTeX_SansSerif-Italic.ttf 30.57 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2018-02-21-at-3.10.10-pm.png 30.38 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-09-28-at-2.45.12-pm.png 30.12 KB
assets/css/fonts/KaTeX_Main-Bold.woff2 29.9 KB
assets/css/fonts/KaTeX_SansSerif-Regular.ttf 29.45 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/img/screen-shot-2017-12-12-at-3.44.23-pm.png 28.22 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/img/screen-shot-2017-11-16-at-4.27.58-pm.png 27.77 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-05-at-12.04.21-am.png 27.05 KB
assets/css/fonts/KaTeX_Main-Italic.woff 26.56 KB
Part 02-Module 01-Lesson 05_Hyperparameters/img/f3iwvmld-400x400.jpg 26.43 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-11.54.48-pm.png 26.13 KB
assets/css/fonts/KaTeX_Main-BoldItalic.woff 25.61 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2018-02-21-at-3.02.16-pm.png 25.15 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-09-01-at-6.35.20-pm.png 24.81 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2018-02-21-at-3.05.00-pm.png 24.29 KB
assets/css/fonts/KaTeX_Script-Regular.ttf 24.28 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-21-at-4.02.19-pm.png 24.25 KB
assets/css/plyr.css 23.62 KB
assets/css/fonts/KaTeX_Math-Italic.woff 23.26 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-01-at-5.14.13-pm.png 23.21 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-10-06-at-2.24.19-pm.png 22.89 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.en.vtt 22.87 KB
assets/css/fonts/KaTeX_Fraktur-Bold.woff 22.84 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/11. Inclusion Guards.html 22.82 KB
assets/css/fonts/KaTeX_Math-BoldItalic.woff 22.65 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/img/launch-instance.png 22.52 KB
assets/css/fonts/KaTeX_Main-Italic.woff2 22.52 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-01-at-11.43.26-am.png 22.51 KB
assets/css/fonts/KaTeX_Fraktur-Regular.woff 22.31 KB
Part 09-Module 02-Lesson 03_Project Optimize Histogram Filter/02. Nd113 Running The Project V1--X1pB-HTdnQ.en.vtt 22.07 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.pt-BR.vtt 22.06 KB
assets/css/fonts/KaTeX_Main-BoldItalic.woff2 21.67 KB
assets/css/katex.min.css 21.56 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/img/my-drawing.png 21.29 KB
Part 09-Module 02-Lesson 03_Project Optimize Histogram Filter/02. Nd113 Running The Project V1--X1pB-HTdnQ.zh-CN.vtt 20.91 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/img/screen-shot-2018-05-25-at-12.38.14-pm.png 20.75 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/11. Representing State with Matrices.html 20.53 KB
assets/css/fonts/KaTeX_Typewriter-Regular.woff 20.43 KB
assets/css/fonts/KaTeX_Fraktur-Bold.woff2 20.01 KB
assets/css/fonts/KaTeX_Math-Italic.woff2 19.95 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-11.51.54-pm.png 19.83 KB
assets/css/fonts/KaTeX_Math-BoldItalic.woff2 19.57 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/29. Mini Project Dermatologist AI.html 19.52 KB
assets/css/fonts/KaTeX_Fraktur-Regular.woff2 19.39 KB
assets/css/fonts/KaTeX_Caligraphic-Bold.ttf 19.13 KB
Part 02-Module 01-Lesson 03_RNN's/10. Backpropagation- Example (part b).html 18.82 KB
assets/css/fonts/KaTeX_SansSerif-Bold.woff 18.72 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.zh-CN.vtt 18.59 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/18. Matrices in Python.html 18.52 KB
assets/css/fonts/KaTeX_Caligraphic-Regular.ttf 18.52 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/alexnet-png.png 18.51 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.en.vtt 18.48 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/img/full-matrix.png 18.3 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.en.vtt 17.71 KB
assets/css/fonts/KaTeX_SansSerif-Italic.woff 17.7 KB
Part 02-Module 01-Lesson 03_RNN's/18. Backpropagation Through Time (part b).html 17.6 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.pt-BR.vtt 17.58 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/img/example.png 17.48 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.en.vtt 17.41 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/img/screen-shot-2017-12-15-at-9.49.09-am.png 17.37 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/18. If and Boolean Logic.html 17.37 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/17. Matrix Functions.html 17.25 KB
assets/css/fonts/KaTeX_Typewriter-Regular.woff2 17.13 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/14. Class Function Declarations.html 17.08 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-11.48.08-pm.png 16.87 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/07. Deadline Policy.html 16.86 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.pt-BR.vtt 16.67 KB
assets/css/fonts/KaTeX_SansSerif-Regular.woff 16.39 KB
Part 02-Module 01-Lesson 02_YOLO/img/screen-shot-2018-05-03-at-6.07.12-pm.png 16.19 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/19. Instantiate an Object.html 16.12 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/23. Matrix Multiplication.html 15.88 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.zh-CN.vtt 15.84 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/img/screen-shot-2017-12-15-at-9.49.56-am.png 15.8 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.pt-BR.vtt 15.8 KB
Part 02-Module 01-Lesson 08_Project Image Captioning/03. Introduction to GPU Workspaces.html 15.78 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/15. Constructor Functions.html 15.77 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/img/review-and-launch.png 15.75 KB
Part 03-Module 01-Lesson 02_Robot Localization/01. Probability Review.html 15.7 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.en.vtt 15.63 KB
assets/css/fonts/KaTeX_SansSerif-Bold.woff2 15.62 KB
Part 09-Module 01-Lesson 03_Practical C++/04. Structuring Functions and File Organization.html 15.35 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/24. Refresh on Confusion Matrices.html 15.32 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/26. Last Feature Vector and t-SNE.html 15.28 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/22. Visualizing CNNs (Part 2).html 14.87 KB
assets/css/fonts/KaTeX_SansSerif-Italic.woff2 14.86 KB
Part 02-Module 01-Lesson 03_RNN's/06. The Feedforward Process.html 14.79 KB
Part 02-Module 01-Lesson 03_RNN's/09. Backpropagation - Example (part a).html 14.73 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/09. Private and Public.html 14.6 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.zh-CN.vtt 14.56 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/14. The Integral Area Under a Curve.html 14.52 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/11. Common Errors and Error Messages.html 14.41 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/25. Transpose of a Matrix.html 14.3 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/10. Memory and the CPU.html 14.25 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-12.42.42-pm.png 14.17 KB
Part 02-Module 01-Lesson 03_RNN's/19. Backpropagation Through Time (part c).html 14.07 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/09. Always Moving.html 14 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.en.vtt 13.94 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.zh-CN.vtt 13.89 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/02. Python vs. C++.html 13.87 KB
assets/css/fonts/KaTeX_SansSerif-Regular.woff2 13.7 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.pt-BR.vtt 13.69 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/22. Analysis What's Going on in the Weights-UHsT35pbpcE.en.vtt 13.69 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/29. Matrix Inverse.html 13.65 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/21. Matrix Addition.html 13.64 KB
Part 02-Module 01-Lesson 03_RNN's/23. Some more math.html 13.62 KB
Part 02-Module 01-Lesson 03_RNN's/24. RNN Summary.html 13.57 KB
assets/css/fonts/KaTeX_Script-Regular.woff 13.53 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/06. Practice Using a Class.html 13.52 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.pt-BR.vtt 13.51 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/img/aws-create-account.png 13.5 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.zh-CN.vtt 13.47 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/16. Set and Get Functions.html 13.46 KB
Part 03-Module 01-Lesson 02_Robot Localization/04. Probability Distributions.html 13.39 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/20. Switch Statement.html 13.37 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/05. Separating Data.html 13.33 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/06. Kinematics.html 13.29 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/img/embeddedlogo-04.png 13.21 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/04. Embedded Terminal Explanation.html 13.17 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/14. Vectors in Python.html 13.15 KB
Part 03-Module 01-Lesson 02_Robot Localization/02. Uncertainty and Bayes' Rule.html 13.08 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/03. Optimization Techniques.html 12.95 KB
assets/css/fonts/KaTeX_Size1-Regular.ttf 12.86 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/13. Anatomy of a Function.html 12.85 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/27. Occlusion, Saliency, and Guided Backpropagation.html 12.79 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/05. A Different Model.html 12.79 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.en.vtt 12.79 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/img/edit-security-group.png 12.76 KB
Part 02-Module 01-Lesson 03_RNN's/17. Backpropagation Through Time (part a).html 12.75 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/10. Header Files.html 12.69 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/21. Libraries.html 12.62 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/05. Python and C++ Comparison.html 12.6 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/02. Software Development and Optimization.html 12.59 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/22. Analysis What's Going on in the Weights-UHsT35pbpcE.pt-BR.vtt 12.59 KB
Part 09-Module 01-Lesson 03_Practical C++/06. Reading in Text Files.html 12.58 KB
Part 09-Module 01-Lesson 03_Practical C++/02. Running Code Locally.html 12.56 KB
Part 02-Module 01-Lesson 03_RNN's/13. RNN (part b).html 12.55 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/05. Launch an Instance.html 12.45 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/04. Using a Class in C++ [Demo].html 12.4 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/img/screen-shot-2017-12-04-at-3.55.18-pm.png 12.3 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/18. Use an Inclusion Guard.html 12.25 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/27. The Identity Matrix.html 12.22 KB
Part 02-Module 01-Lesson 03_RNN's/22. BPTT Quiz 3.html 12.22 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/21. Matrix Multiplication.html 12.19 KB
Part 03-Module 01-Lesson 02_Robot Localization/08. Probability After Sense.html 12.18 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.pt-BR.vtt 12.17 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/19. While and For Loops.html 12.13 KB
Part 04-Module 01-Lesson 01_Applying Deep Learning Models/01. Style Transfer.html 12.13 KB
assets/css/fonts/KaTeX_Size2-Regular.ttf 12.12 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.zh-CN.vtt 12.11 KB
Part 09-Module 01-Lesson 05_Python and C++ Speed/04. Moving in C++.html 12.1 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/25. Face Recognition and the Dangers of Bias.html 12.1 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/22. Analysis What's Going on in the Weights-UHsT35pbpcE.zh-CN.vtt 12.07 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/28. Summary of Feature Viz.html 12.06 KB
assets/css/fonts/KaTeX_Script-Regular.woff2 11.99 KB
Part 02-Module 01-Lesson 03_RNN's/08. Backpropagation- Theory.html 11.86 KB
Part 02-Module 01-Lesson 02_YOLO/04. CNN Sliding Windows .html 11.86 KB
assets/css/fonts/KaTeX_Caligraphic-Bold.woff 11.85 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/04. Interpreting Position vs. Time Graphs.html 11.84 KB
Part 02-Module 01-Lesson 05_Hyperparameters/08. RNN Hyperparameters.html 11.81 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/10. Differentiation Recap.html 11.79 KB
Part 02-Module 01-Lesson 05_Hyperparameters/03. Learning Rate-HLMjeDez7ps.en.vtt 11.68 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/04. Quiz Predicting State.html 11.64 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/07. Binary.html 11.64 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/02. Frequency in Images.html 11.62 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/09. Floating versus Double [demonstration].html 11.6 KB
assets/css/fonts/KaTeX_Caligraphic-Regular.woff 11.59 KB
Part 09-Module 01-Lesson 02_C++ Vectors/06. Vectors and For Loops.html 11.48 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/29. Project Overview.html 11.47 KB
Part 02-Module 01-Lesson 03_RNN's/11. Backpropagation Quiz.html 11.41 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/03. Computer Vision Pipeline.html 11.39 KB
Part 09-Module 01-Lesson 02_C++ Vectors/02. Namespaces.html 11.31 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/04. Quiz Implementing Constraints.html 11.27 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/08. Gradients and Sobel Filters.html 11.25 KB
Part 01-Module 01-Lesson 07_Project Facial Keypoint Detection/Project Rubric - Facial Keypoint Detection.html 11.24 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/07. Review Anatomy of a Class.html 11.23 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/13. Reasoning About Two Peaks.html 11.22 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/14. Coding A Blue Screen-jeeDryFxodk.en.vtt 11.2 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/26. Beyond Edges, Selecting Different Features.html 11.2 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/06. Defining Layers in PyTorch.html 11.19 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/07. Quantifying State.html 11.19 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/11. Fully-Connected Layers, VGG-16.html 11.1 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/07. C++ - A Statically Typed Language.html 11.06 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/18. Refresh on ROC Curves.html 11.04 KB
Part 02-Module 01-Lesson 08_Project Image Captioning/Project Rubric - Image Captioning.html 11.03 KB
Part 02-Module 01-Lesson 03_RNN's/05. Feedforward Neural Network-Reminder.html 11.02 KB
assets/css/fonts/KaTeX_Size4-Regular.ttf 11.02 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/01. Localization Steps.html 11.01 KB
Part 09-Module 01-Lesson 02_C++ Vectors/08. 1D Vector Playground.html 11.01 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-12.40.54-pm.png 11 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/img/screen-shot-2017-12-15-at-2.29.58-pm.png 10.97 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/19. Further Noise Reduction-Kl3hWxizKVg.en.vtt 10.9 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/04. CNN Architecture, VGG-16.html 10.87 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.pt-BR.vtt 10.86 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/15. More on Sensitivity and Specificity.html 10.85 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/21. Labeled Data and Accuracy.html 10.78 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/16. Review Dropout.html 10.76 KB
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice.html 10.73 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/img/screen-shot-2017-12-15-at-9.48.11-am.png 10.72 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/24. Standardizing Output.html 10.7 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.zh-CN.vtt 10.69 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.en.vtt 10.67 KB
Part 02-Module 01-Lesson 03_RNN's/03. RNN History.html 10.63 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/18. Network Structure.html 10.63 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/04. Dead Code.html 10.58 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-12-04-at-12.42.55-pm.png 10.57 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/01. Introduction.html 10.53 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/04. Training a Model.html 10.48 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.en.vtt 10.47 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/10. Semantic Segmentation and FCN's.html 10.46 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/13. Training in PyTorch.html 10.42 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/img/screen-shot-2017-12-15-at-9.51.10-am.png 10.42 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/13. Class Variables.html 10.42 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/20. State Transformation Matrix.html 10.39 KB
Part 02-Module 01-Lesson 03_RNN's/07. Feedforward Quiz.html 10.37 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.en.vtt 10.36 KB
Part 03-Module 01-Lesson 02_Robot Localization/38. C++ Elective Implementation.html 10.35 KB
assets/css/fonts/KaTeX_Caligraphic-Bold.woff2 10.35 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/14. Coding A Blue Screen-jeeDryFxodk.zh-CN.vtt 10.34 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/17. Solution Diagnosing Cancer.html 10.31 KB
Part 02-Module 01-Lesson 05_Hyperparameters/03. Learning Rate-HLMjeDez7ps.pt-BR.vtt 10.29 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/07. Quiz Variance and Preferred Gaussian.html 10.27 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/08. Basic Data Types.html 10.24 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/03. Intro to Computer Hardware.html 10.22 KB
Part 03-Module 01-Lesson 02_Robot Localization/29. Limit Distribution.html 10.19 KB
assets/css/fonts/KaTeX_Caligraphic-Regular.woff2 10.17 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/19. Further Noise Reduction-Kl3hWxizKVg.pt-BR.vtt 10.16 KB
Part 03-Module 01-Lesson 02_Robot Localization/17. Test Sense Function.html 10.16 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/05. A Typical Calculus Problem.html 10.11 KB
Part 02-Module 01-Lesson 05_Hyperparameters/03. Learning Rate-HLMjeDez7ps.zh-CN.vtt 10.11 KB
Part 03-Module 01-Lesson 02_Robot Localization/20. Answer Multiple Measurements.html 10.08 KB
Part 03-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2.html 10.08 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/30. Evaluation Metrics.html 10.06 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/12. C++ Functions.html 10.05 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/03. Lesson Outline and Data.html 10.05 KB
Part 03-Module 01-Lesson 02_Robot Localization/10. Normalize Distribution.html 10.04 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/22. Object Recognition Introducing Haar Cascades.html 10.03 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/09. Faster R-CNN.html 10.02 KB
Part 03-Module 01-Lesson 02_Robot Localization/37. Localization Summary.html 10.01 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/14. References.html 9.98 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/19. Further Noise Reduction-Kl3hWxizKVg.zh-CN.vtt 9.97 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/14. Convolutional Layer.html 9.95 KB
Part 02-Module 01-Lesson 03_RNN's/01. RNN's in Computer Vision.html 9.93 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/05. Convolutional Layers (Part 2)-LX-yVob3c28.en.vtt 9.92 KB
Part 03-Module 01-Lesson 02_Robot Localization/25. Inexact Motion.html 9.86 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/02. Review Training a Neural Network.html 9.84 KB
Part 02-Module 01-Lesson 03_RNN's/25. From RNN to LSTM.html 9.84 KB
Part 09-Module 01-Lesson 02_C++ Vectors/01. C++ Vectors.html 9.84 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/02. Skin Cancer.html 9.83 KB
Part 03-Module 01-Lesson 02_Robot Localization/13. Answer Sense Function.html 9.82 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/12. Kalman Equation Reference.html 9.79 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/17. Overloading Functions.html 9.79 KB
Part 03-Module 01-Lesson 02_Robot Localization/16. Answer Normalized Sense Function.html 9.79 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/04. Dilation and Erosion.html 9.76 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/02. Intro to State.html 9.74 KB
Part 03-Module 01-Lesson 02_Robot Localization/11. Sense Function.html 9.74 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. Neural Network Architecture.html 9.74 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-06-at-2.04.24-pm.png 9.71 KB
Part 03-Module 01-Lesson 02_Robot Localization/21. Exact Motion .html 9.71 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/01. Introduction to CNN Layers.html 9.71 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/14. Coding a Blue Screen.html 9.7 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-10-30-at-11.56.27-am.png 9.69 KB
Part 03-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function.html 9.69 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/14. FCN-8 Architecture.html 9.68 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/08. Position, Velocity, and Acceleration.html 9.68 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/22. 1D State Vector and More Multiplication.html 9.65 KB
Part 03-Module 01-Lesson 02_Robot Localization/24. Answer Move Function.html 9.65 KB
Part 03-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements.html 9.64 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/03. Motion Models.html 9.64 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/23. Features.html 9.63 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/32. Review and the Computer Vision Pipeline.html 9.62 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/13. What is a vector.html 9.59 KB
Part 03-Module 01-Lesson 02_Robot Localization/28. Answer Inexact Move Function.html 9.58 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/05. Explanation of the Main.cpp File.html 9.57 KB
Part 03-Module 01-Lesson 09_Project Landmark Detection Tracking (SLAM)/Project Rubric - Landmark Detection Tracking (SLAM).html 9.55 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.en.vtt 9.55 KB
Part 03-Module 01-Lesson 02_Robot Localization/22. Move Function.html 9.54 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/28. Classification.html 9.53 KB
Part 03-Module 01-Lesson 02_Robot Localization/31. Move 1000.html 9.51 KB
Part 03-Module 01-Lesson 02_Robot Localization/35. Answer Sense and Move.html 9.5 KB
Part 01-Module 01-Lesson 07_Project Facial Keypoint Detection/02. Workspaces Best Practices.html 9.5 KB
Part 02-Module 01-Lesson 03_RNN's/12. RNN (part a).html 9.49 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/13. Quiz Sensitivity and Specificity.html 9.49 KB
Part 03-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function.html 9.49 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/06. How Odometers Work.html 9.48 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/09. Mini Project 2.html 9.47 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/08. Udacity Support.html 9.47 KB
Part 01-Module 01-Lesson 07_Project Facial Keypoint Detection/01. Project Overview.html 9.46 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/26. Average Brightness.html 9.44 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/22. Distinguishing Traits.html 9.43 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/10. Color Images.html 9.43 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/19. Day and Night Classification Challenge.html 9.42 KB
Part 02-Module 01-Lesson 02_YOLO/11. Quiz IoU and Overlap Limits.html 9.41 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/05. A Note on Notation.html 9.4 KB
Part 03-Module 01-Lesson 02_Robot Localization/06. Total Probability.html 9.39 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/09. Simplifying the Kalman Filter Equations.html 9.38 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.pt-BR.vtt 9.38 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/06. If Statements.html 9.38 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/08. Pooling, VGG-16 Architecture.html 9.33 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/17. Static Keyword.html 9.33 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/09. Gaussian Function and Maximum.html 9.32 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/18. Quiz Gaussian Motion.html 9.32 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/10. Car Object.html 9.32 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/01. Intro to Pattern Recognition.html 9.31 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.en.vtt 9.3 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/02. Emotional Intelligence.html 9.28 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/14. Quiz Parameter Update.html 9.28 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/11. Acceleration Basics.html 9.28 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/07. Attention Overview.html 9.24 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/06. Login to an Instance.html 9.24 KB
Part 09-Module 01-Lesson 03_Practical C++/03. C++ Versions.html 9.24 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name.html 9.22 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.zh-CN.vtt 9.21 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/05. Gaussian Intro.html 9.2 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/03. Materials.html 9.2 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Backpropagation.html 9.18 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/10. Attention Encoder Decoder.html 9.15 KB
Part 03-Module 01-Lesson 02_Robot Localization/15. Notebook Normalized Sense Function.html 9.09 KB
Part 03-Module 01-Lesson 02_Robot Localization/09. Notebook Probability After Sense.html 9.09 KB
Part 03-Module 01-Lesson 02_Robot Localization/19. Notebook Multiple Measurements.html 9.08 KB
Part 03-Module 01-Lesson 02_Robot Localization/27. Notebook Inexact Move Function.html 9.08 KB
Part 03-Module 01-Lesson 02_Robot Localization/34. Notebook Sense and Move Cycle.html 9.08 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/11. Color or Grayscale.html 9.08 KB
Part 02-Module 01-Lesson 03_RNN's/20. BPTT Quiz 1.html 9.08 KB
Part 03-Module 01-Lesson 02_Robot Localization/07. Notebook 1D Robot World.html 9.07 KB
Part 03-Module 01-Lesson 02_Robot Localization/12. Notebook Sense Function.html 9.07 KB
Part 03-Module 01-Lesson 02_Robot Localization/32. Notebook Multiple Moves.html 9.07 KB
Part 03-Module 01-Lesson 02_Robot Localization/23. Notebook Move Function.html 9.07 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/07. Quiz Data Challenges.html 9.05 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/10. Quiz Shifting the Mean.html 9 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/19. Quiz ROC Curve.html 9 KB
Part 02-Module 01-Lesson 03_RNN's/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.pt-BR.vtt 8.99 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview.html 8.98 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/02. Corner Detectors-jemzDq07MEI.en.vtt 8.97 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/27. Useful Resources.html 8.96 KB
Part 09-Module 01-Lesson 02_C++ Vectors/09. 2D Vectors.html 8.95 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/22. Sensor Strengths and Weaknesses.html 8.95 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/10. Quiz Random vs Pre-initialized Weights.html 8.94 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/12. Quiz Predicting the Peak.html 8.94 KB
Part 09-Module 01-Lesson 02_C++ Vectors/04. Initializing Vector Values.html 8.92 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/04. Quiz Fourier Tranform Image.html 8.91 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/img/launch.png 8.9 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/29. Image Classification Regression Challenges.html 8.9 KB
Part 02-Module 01-Lesson 08_Project Image Captioning/01. Project Overview.html 8.88 KB
Part 09-Module 01-Lesson 02_C++ Vectors/11. 2D Vector Playground.html 8.88 KB
Part 03-Module 01-Lesson 02_Robot Localization/05. Localization.html 8.87 KB
Part 02-Module 01-Lesson 03_RNN's/04. RNN Applications.html 8.87 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.zh-CN.vtt 8.85 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/03. Tracking Intro.html 8.84 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.en.vtt 8.83 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/05. Transposed Convolutions.html 8.82 KB
Part 09-Module 02-Lesson 03_Project Optimize Histogram Filter/01. Overview.html 8.82 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/16. Quiz Diagnosing Cancer.html 8.82 KB
Part 02-Module 01-Lesson 03_RNN's/15. Unfolded Model Quiz.html 8.81 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/05. Framing the Problem-IsTOnkAKaJw.en.vtt 8.81 KB
Part 03-Module 01-Lesson 02_Robot Localization/03. Reducing Uncertainty.html 8.79 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/07. Regularization-ndYnUrx8xvs.pt-BR.vtt 8.78 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/02. Computer Vision in Industry.html 8.75 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/07. Let's Look at Where We Are.html 8.75 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/04. Projects and Topics.html 8.75 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/08. Images as Grids of Pixels.html 8.74 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/01. Introduction to Odometry.html 8.73 KB
Part 02-Module 01-Lesson 03_RNN's/21. BPTT Quiz 2.html 8.72 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/02. Encoders and Decoders.html 8.71 KB
Part 09-Module 01-Lesson 05_Python and C++ Speed/03. Moving in Python.html 8.67 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/18. ROC Curve-2Iw5TiGzJI4.en.vtt 8.66 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/27. Notebook Average Brightness Feature Extraction.html 8.65 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/25. Notebook Standardizing Day and Night Images.html 8.64 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/19. Quiz Hough Space.html 8.64 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/31. Notebook Accuracy and Misclassification.html 8.63 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/20. Notebook Load and Visualize the Data.html 8.63 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/05. High-pass Filters.html 8.62 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/09. Notebook Images as Numerical Data.html 8.62 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/12. Notebook Visualizing RGB Channels.html 8.62 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/01. Kalman Filters and Linear Algebra.html 8.62 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/01. Filters and Finding Edges.html 8.61 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/18. Notebook Color Conversion.html 8.6 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/06. Quiz Kernels.html 8.6 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/29. Notebook Classification.html 8.6 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/16. Notebook Green Screen.html 8.6 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/15. Notebook Blue Screen.html 8.59 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/17. Shape Detection.html 8.59 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/20. Mini Project 6.html 8.59 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/05. Convolutional Layers (Part 2)-LX-yVob3c28.zh-CN.vtt 8.59 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/02. Kalman Filter Prediction.html 8.58 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.zh-CN.vtt 8.57 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.zh-CN.vtt 8.56 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-06-at-2.45.22-pm.png 8.56 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/17. Quiz Introducing Noise.html 8.55 KB
Part 03-Module 01-Lesson 02_Robot Localization/33. Sense and Move.html 8.53 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/06. Quiz Adding Landmarks.html 8.53 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/12. Mini Project 3.html 8.52 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/03. Another Prediction.html 8.52 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/07. Notebook Visualizing a Convolutional Layer.html 8.52 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/14. Notebook Fashion MNIST Training Exercise.html 8.51 KB
Part 02-Module 01-Lesson 03_RNN's/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.en.vtt 8.51 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/24. Notebook Feature Viz for FashionMNIST.html 8.51 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/10. Notebook Visualizing a Pooling Layer.html 8.5 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/25. Notebook Visualize Your Net Layers.html 8.5 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/12. Notebook Visualizing FashionMNIST.html 8.5 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/15. Notebook FashionMNIST, Solution 1.html 8.5 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/17. Notebook FashionMNIST, Solution 2.html 8.5 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/17. Color Spaces and Transforms.html 8.49 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/03. Get Access to GPU Instances.html 8.49 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/27. Keeping Track of x and y (solution).html 8.49 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/10. The Rest of the Lesson.html 8.49 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/16. Approximating Integrals with Code.html 8.48 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/30. Lab - Reconstructing Trajectories.html 8.48 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/12. Plotting Elevator Acceleration.html 8.48 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/17. Integrating Accelerometer Data.html 8.48 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/03. Plotting Position vs. Time.html 8.47 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/09. Implement an Accelerometer.html 8.47 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/19. Integrating Rate Gyro Data.html 8.47 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/07. Speed from Position Data.html 8.47 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/26. Keeping Track of x and y.html 8.47 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/21. Accumulating Errors.html 8.46 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/12. Vector Storage.html 8.44 KB
Part 02-Module 01-Lesson 03_RNN's/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.pt-BR.vtt 8.44 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/17. Mini Project 5.html 8.44 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/23. Visualizing Activations.html 8.42 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/02. Inertial Navigation Sensors.html 8.4 KB
Part 09-Module 01-Lesson 02_C++ Vectors/07. Math and Vectors.html 8.39 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/17. Guide to Mathematical Notation.html 8.38 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/24. Coding Matrix Multiplication.html 8.37 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/20. Coding Matrices (Solution).html 8.37 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/16. Coding Vectors (solution).html 8.37 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/22. Coding Matrix Addition.html 8.36 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/28. Coding Identity Matrix.html 8.36 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/30. Coding Matrix Inverse.html 8.36 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/26. Coding the Transpose.html 8.36 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/19. Coding Matrices.html 8.35 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/15. Coding Vectors.html 8.35 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/06. AffdexMe Demo.html 8.34 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/06. Image Challenges.html 8.34 KB
Part 02-Module 01-Lesson 03_RNN's/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.en.vtt 8.33 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/23. Summary and Back to Trigonometry.html 8.33 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/10. Intermediate Variables.html 8.32 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/14. Additive and Multiplicative Attention.html 8.32 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/08. Answer Variance and Preferred Gaussian.html 8.31 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/05. Framing the Problem-IsTOnkAKaJw.zh-CN.vtt 8.31 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/06. Kalman Filter Design.html 8.31 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/09. Pooling Layers.html 8.3 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.pt-BR.vtt 8.3 KB
Part 02-Module 01-Lesson 07_Image Captioning/04. Visualize the Dataset.html 8.3 KB
Part 03-Module 01-Lesson 09_Project Landmark Detection Tracking (SLAM)/01. Project Overview.html 8.29 KB
Part 02-Module 01-Lesson 05_Hyperparameters/06. Number of Training Iterations Epochs.html 8.29 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.pt-BR.vtt 8.27 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/18. Rate Gyros.html 8.26 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/04. Answer Tracking Intro.html 8.24 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/05. High-pass Filters-OpcFn_H2V-Q.pt-BR.vtt 8.22 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.zh-CN.vtt 8.2 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/17. Solution New Mean and Variance.html 8.19 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/20. Working with Real Data.html 8.19 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.zh-CN.vtt 8.19 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/01. Introduction to SLAM.html 8.18 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/31. What to Take Away from this Lesson.html 8.17 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/08. Fast R-CNN.html 8.17 KB
assets/css/fonts/KaTeX_Size3-Regular.ttf 8.16 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/img/screen-shot-2017-09-28-at-2.41.26-pm.png 8.15 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.pt-BR.vtt 8.15 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/04. More Kalman FIlters.html 8.14 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/14. Multiple Outputs.html 8.13 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/13. Turn Right.html 8.12 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/18. ROC Curve-2Iw5TiGzJI4.pt-BR.vtt 8.12 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/19. State Vector.html 8.09 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction.html 8.09 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code.html 8.08 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/07. Regularization-ndYnUrx8xvs.en.vtt 8.07 KB
Part 02-Module 01-Lesson 03_RNN's/02. RNN Introduction.html 8.06 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/21. First Convolutional Layer.html 8.06 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/13. Color Thresholds.html 8.05 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/15. Computer Vision Applications.html 8.05 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/06. Answer Gaussian Intro.html 8.05 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/07. Image Formation.html 8.04 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/27. Next Motion Models and State.html 8.04 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1.html 8.03 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/11. Quiz.html 8.03 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/16. Notebook New Mean and Variance.html 8.02 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/05. Motion Vector.html 8.02 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/19. Feature Visualization.html 8.02 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/21. Notebook Predict Function.html 8.01 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/24. Notebook 1D Kalman Filter.html 8.01 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/09. Community Guidelines.html 8.01 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/24. Trigonometry and Vehicle Motion.html 8 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/25. Answer 1D Kalman Filter.html 8 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/05. Convolutional Layers.html 7.99 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/22. Answer Predict Function.html 7.99 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/11. Solution Random vs Pre-initialized Weight.html 7.99 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/15. Approximating the Integral.html 7.97 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/25. Solving Trig Problems.html 7.97 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/20. Feature Maps.html 7.96 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/08. The Kalman Filter Equations.html 7.96 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.pt-BR.vtt 7.95 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/13. Notebook Fourier Transforms of Filters.html 7.94 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivity and Specificity.html 7.94 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/24. Notebook Haar Cascade Face Detection.html 7.94 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/23. What is the network looking at.html 7.94 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/08. Lesson Outline.html 7.93 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/16. Notebook Canny Edge Detection.html 7.93 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/03. Notebook Fourier Transforms.html 7.92 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/21. Notebook Hough Detections.html 7.92 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/20. Predict Function.html 7.92 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/09. Notebook Finding Edges.html 7.91 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/12. Notebook Gaussian Blur.html 7.91 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/07. Creating a Filter.html 7.89 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/02. Corner Detectors-jemzDq07MEI.zh-CN.vtt 7.89 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/09. Training the Neural Network.html 7.88 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/28. Conclusion.html 7.88 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/11. Gaussian Blur.html 7.88 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/01. Kalman Filter Land.html 7.87 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction.html 7.87 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges.html 7.86 KB
Part 02-Module 01-Lesson 03_RNN's/06. 07 FeedForward B V3-kTYbTVh1d0k.pt-BR.vtt 7.86 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/12. Validating the Training.html 7.86 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/02. Quiz Graph SLAM.html 7.85 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/04. Medical Classification.html 7.85 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/05. Framing the Problem-IsTOnkAKaJw.pt-BR.vtt 7.85 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/08. For Loops.html 7.84 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.pt-BR.vtt 7.84 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/03. Survival Probability of Skin Cancer.html 7.83 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve.html 7.82 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/04. Bounding Boxes and Regression.html 7.82 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/21. Comparing our Results with Doctors.html 7.81 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/25. Confusion Matrix.html 7.81 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/03. Answer Graph SLAM.html 7.8 KB
Part 09-Module 01-Lesson 03_Practical C++/08. Exercises.html 7.79 KB
Part 09-Module 01-Lesson 03_Practical C++/07. Outputting to Text Files.html 7.79 KB
Part 02-Module 01-Lesson 02_YOLO/08. Quiz Generating Boxes and Detecting Objects.html 7.79 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/22. Visualization.html 7.79 KB
Part 02-Module 01-Lesson 03_RNN's/16. RNN- Example.html 7.79 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/15. Canny Edge Detector.html 7.78 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/01. Intro.html 7.77 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion.html 7.77 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/03. Elecia White.html 7.77 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.en.vtt 7.76 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/16. Color Class.html 7.76 KB
Part 04-Module 01-Lesson 01_Applying Deep Learning Models/02. Navegação de tráfico 3-az5ElmV4DhY.en-US.vtt 7.75 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/05. The data.html 7.75 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/24. Working with Matrices.html 7.75 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/20. Hough Line Detection.html 7.74 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/15. Answer Parameter Update.html 7.74 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/08. Quiz Matrix Modification.html 7.65 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/12. Look at the Class Code.html 7.65 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2.html 7.65 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/15. Mini Project 4.html 7.64 KB
Part 02-Module 01-Lesson 05_Hyperparameters/04. Learning Rate.html 7.63 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/18. Hough Transform.html 7.63 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/08. Other Facets of C++ Classes.html 7.62 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.en.vtt 7.6 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/19. Answer Gaussian Motion.html 7.6 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.pt-BR.vtt 7.59 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/13. Answer Predicting the Peak.html 7.59 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/10. Quiz Untouched Fields.html 7.59 KB
Part 04-Module 01-Lesson 01_Applying Deep Learning Models/02. Navegação de tráfico 3-az5ElmV4DhY.pt-BR.vtt 7.59 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/11. Answer Shifting the Mean.html 7.58 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction.html 7.58 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/06. Mini Project 1.html 7.57 KB
Part 01-Module 01-Lesson 07_Project Facial Keypoint Detection/Project Description - Facial Keypoint Detection.html 7.56 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/05. High-pass Filters-OpcFn_H2V-Q.en.vtt 7.56 KB
Part 02-Module 01-Lesson 03_RNN's/06. 07 FeedForward B V3-kTYbTVh1d0k.en.vtt 7.55 KB
Part 09-Module 01-Lesson 03_Practical C++/01. Introduction to Compilation.html 7.55 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/img/2vector-columns.png 7.53 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/26. Kalman Prediction.html 7.52 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/17. Color Spaces and Transforms-B350aJVSsFc.en.vtt 7.52 KB
Part 02-Module 01-Lesson 03_RNN's/26. Wrap Up.html 7.51 KB
Part 02-Module 01-Lesson 03_RNN's/14. RNN- Unfolded Model.html 7.5 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.en.vtt 7.49 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/05. Quiz Loss Values.html 7.46 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/03. Elective Text Sentiment Analysis.html 7.46 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/11. Interacting with a Car Object.html 7.43 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/18. Overloading Color Addition.html 7.43 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/15. Instantiate Multiple Cars.html 7.42 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/23. Modify Predict State.html 7.42 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/21. Mini Project 6 Solution.html 7.41 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/22. Analysis What's Going on in the Weights.html 7.4 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/04. The Notebooks.html 7.39 KB
Part 04-Module 01-Lesson 01_Applying Deep Learning Models/02. Navegação de tráfico 3-az5ElmV4DhY.zh-CN.vtt 7.39 KB
Part 03-Module 01-Lesson 09_Project Landmark Detection Tracking (SLAM)/Project Description - Landmark Detection Tracking (SLAM).html 7.38 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/16. Notebook Including Sensor Measurements.html 7.37 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/10. Low-pass Filters.html 7.36 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/02. Introducing PyTorch.html 7.36 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/21. SLAM Summary.html 7.35 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/11. Bahdanau and Luong Attention.html 7.35 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/20. Notebook Confident Measurements.html 7.35 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/img/copy-of-vector-example.png 7.35 KB
Part 04-Module 01-Lesson 01_Applying Deep Learning Models/02. Navegação de tráfico 3-az5ElmV4DhY.en.vtt 7.35 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/23. Haar Cascades.html 7.35 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/13. Notebook Omega and Xi .html 7.33 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/14. Quiz Landmark Position.html 7.32 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/02. Meet Andrew.html 7.31 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/18. ROC Curve-2Iw5TiGzJI4.zh-CN.vtt 7.3 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution.html 7.29 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/10. Mini Project 2 Solution.html 7.29 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/13. Mini Project 3 Solution.html 7.29 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution.html 7.29 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/img/example-trajectory.png 7.28 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/19. [SOLUTION] Attention Basics.html 7.27 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/18. Notebook Attention Basics.html 7.27 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/16. Other Attention Methods.html 7.27 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2017-11-06-at-2.05.19-pm.png 7.22 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/06. Regularization.html 7.21 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Backpropagation V2-1SmY3TZTyUk.en.vtt 7.21 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/20. Outro.html 7.18 KB
Part 02-Module 01-Lesson 03_RNN's/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.zh-CN.vtt 7.18 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/15. Answer Landmark Position.html 7.17 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt 7.17 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/16. Understanding Inefficiencies in our Network.html 7.17 KB
Part 02-Module 01-Lesson 07_Image Captioning/08. Tokenizing Words.html 7.12 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/20. Running your Program Locally.html 7.1 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/07. R-CNN.html 7.08 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/08. Transforming Text into Numbers.html 7.08 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/14. Understanding Neural Noise.html 7.05 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/11. Building a Neural Network.html 7.04 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/01. Introducing Andrew Trask.html 7.04 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/01. Welcome to the Computer Vision Nanodegree Program.html 7.03 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/19. Further Noise Reduction.html 7.03 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/05. Framing the Problem.html 7 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/06. Assembly Language.html 7 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/23. Conclusion.html 7 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/17. The Transformer and Self-Attention.html 6.99 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/11. Exercise Intermediate Variables.html 6.99 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/01. Intro to LSTM.html 6.98 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/08. Images as Grids of Pixels-RVNiaZuv6Ss.en.vtt 6.98 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/05. Exercise Remove Dead Code.html 6.98 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/05. Partnership with Industry.html 6.97 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/13. Exercise Vector Storage.html 6.97 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/18. Exercise Static Keyword.html 6.97 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/07. Exercise If Statements.html 6.97 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/15. Exercise References.html 6.96 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/07. Regularization-ndYnUrx8xvs.zh-CN.vtt 6.96 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/09. Exercise For Loops.html 6.96 KB
Part 02-Module 01-Lesson 02_YOLO/12. Non-Maximal Suppression.html 6.95 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/12. Implement a Class.html 6.95 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/05. Encoding -- Attention Overview.html 6.95 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/06. Decoding -- Attention Overview.html 6.95 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/04. Sequence to Sequence Recap.html 6.93 KB
Part 09-Module 01-Lesson 02_C++ Vectors/05. Vector Methods.html 6.93 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/14. Adding Color.html 6.93 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/01. Introduction to Attention.html 6.93 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/12. Multiplicative Attention.html 6.92 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/05. Answer Implementing Constraints.html 6.91 KB
Part 01-Module 01-Lesson 05_Feature Vectors/01. Corners and Object Detection.html 6.91 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/18. Answer Introducing Noise.html 6.89 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/19. Confident Measurements.html 6.89 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/11. Answer Untouched Fields.html 6.89 KB
Part 01-Module 01-Lesson 05_Feature Vectors/06. Quiz FAST Keypoints.html 6.88 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/06. Region Proposals.html 6.88 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/09. Answer Matrix Modification.html 6.88 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/13. Additive Attention.html 6.88 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/08. Attention Encoder.html 6.87 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/09. Attention Decoder.html 6.87 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/17. Color Spaces and Transforms-B350aJVSsFc.zh-CN.vtt 6.87 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/07. Answer Adding Landmarks.html 6.86 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/01. Overview.html 6.86 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/05. Image Segmentation.html 6.85 KB
Part 02-Module 01-Lesson 08_Project Image Captioning/Project Description - Image Captioning.html 6.85 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/09. The Use Gate.html 6.84 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/12. Quiz Omega and Xi.html 6.84 KB
Part 02-Module 01-Lesson 03_RNN's/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.zh-CN.vtt 6.84 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/01. 01 Introduction To Attention V2-NCn97L5WbCY.pt-BR.vtt 6.82 KB
assets/css/fonts/KaTeX_Size1-Regular.woff 6.82 KB
Part 09-Module 01-Lesson 05_Python and C++ Speed/05. Comparing Speeds.html 6.81 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/06. The Learn Gate.html 6.8 KB
Part 02-Module 01-Lesson 05_Hyperparameters/09. RNN Hyperparameters.html 6.8 KB
Part 09-Module 01-Lesson 03_Practical C++/05. Input and Output.html 6.78 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt 6.76 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/15. 10 Computer Vision Applications V3-bhWwc4BYTYc.pt-BR.vtt 6.75 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/09. Loading Data Sets with Torchvision.html 6.74 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/06. Static vs Dynamic Typing.html 6.74 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/22. Forge on!.html 6.73 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/07. The Forget Gate.html 6.72 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/05. Notebook LSTM Structure and Hidden State, PyTorch.html 6.72 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/06. Fashion-MNIST Exercise.html 6.71 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.pt-BR.vtt 6.71 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/12. Notebook LSTM for Part of Speech Tagging.html 6.71 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why use Object Oriented Programming.html 6.7 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/10. Doubles are Bigger.html 6.7 KB
Part 02-Module 01-Lesson 03_RNN's/06. 07 FeedForward B V3-kTYbTVh1d0k.zh-CN.vtt 6.7 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/07. Inference Validation.html 6.7 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/14. Sequence Batching.html 6.69 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/15. Notebook Character-Level LSTM.html 6.68 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/04. Defining Networks.html 6.68 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/05. Training Networks.html 6.68 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/10. Transfer Learning.html 6.68 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/13. IOU Example.html 6.67 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/03. PyTorch Tensors.html 6.67 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/01. Introduction.html 6.67 KB
Part 04-Module 01-Lesson 01_Applying Deep Learning Models/03. Flappy Bird.html 6.66 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/16. Other architectures.html 6.66 KB
Part 02-Module 01-Lesson 03_RNN's/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.pt-BR.vtt 6.64 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/04. Why C++.html 6.64 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/13. Character-Level RNN.html 6.63 KB
Part 09-Module 01-Lesson 02_C++ Vectors/10. 2D Vectors and For Loops.html 6.63 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/08. The Remember Gate.html 6.62 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/diagonal-line-2.png 6.62 KB
Part 02-Module 01-Lesson 07_Image Captioning/09. RNN Training.html 6.61 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/08. Saving and Loading Trained Networks.html 6.6 KB
Part 02-Module 01-Lesson 02_YOLO/15. Notebook YOLO Implementation.html 6.6 KB
Part 01-Module 01-Lesson 05_Feature Vectors/08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.en.vtt 6.58 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/05. High-pass Filters-OpcFn_H2V-Q.zh-CN.vtt 6.57 KB
Part 02-Module 01-Lesson 08_Project Image Captioning/02. LSTM InputsOutputs.html 6.57 KB
Part 02-Module 01-Lesson 05_Hyperparameters/10. Sources References.html 6.57 KB
Part 02-Module 01-Lesson 02_YOLO/14. YOLO Algorithm.html 6.56 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/04. Apply Credits.html 6.55 KB
Part 03-Module 01-Lesson 02_Robot Localization/index.html 6.55 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/08. Tracking Features.html 6.54 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.zh-CN.vtt 6.54 KB
assets/css/fonts/KaTeX_Size2-Regular.woff 6.53 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/12. Other Activation Functions.html 6.53 KB
Part 01-Module 01-Lesson 05_Feature Vectors/12. Notebook Implementing ORB.html 6.51 KB
Part 01-Module 01-Lesson 05_Feature Vectors/14. Notebook Implementing HOG.html 6.51 KB
Part 02-Module 01-Lesson 02_YOLO/13. Anchor Boxes.html 6.51 KB
Part 01-Module 01-Lesson 05_Feature Vectors/09. Notebook Image Pyramids.html 6.5 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/pytorch.png 6.5 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt 6.5 KB
Part 02-Module 01-Lesson 05_Hyperparameters/07. Number of Hidden Units Layers.html 6.49 KB
Part 09-Module 01-Lesson 02_C++ Vectors/03. Python Lists vs. C++ Vectors.html 6.48 KB
Part 01-Module 01-Lesson 05_Feature Vectors/13. HOG.html 6.47 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/15. 10 Computer Vision Applications V3-bhWwc4BYTYc.en.vtt 6.47 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.en.vtt 6.47 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/16. Sebastian's Synchronization Story.html 6.46 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/09. K-means Clustering-Cf_LSDCEBzk.en.vtt 6.44 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/19. Speed Challenge.html 6.42 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/06. Brightness Constancy Assumption.html 6.39 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt 6.39 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/06. Learning in the Classroom.html 6.39 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/03. Classification and Localization.html 6.38 KB
Part 03-Module 01-Lesson 02_Robot Localization/06. 05 Total Probability V4-RCEieE2t8U4.en.vtt 6.37 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.en.vtt 6.37 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/04. Feedforward.html 6.36 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.zh-CN.vtt 6.36 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.pt-BR.vtt 6.35 KB
Part 01-Module 01-Lesson 05_Feature Vectors/15. Learning to Find Features.html 6.34 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.en.vtt 6.31 KB
assets/css/fonts/KaTeX_Size4-Regular.woff 6.3 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/02. Corner Detectors.html 6.29 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/13. Batch vs Stochastic Gradient Descent.html 6.29 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/10. Putting it All Together.html 6.29 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/08. Images as Grids of Pixels-RVNiaZuv6Ss.zh-CN.vtt 6.28 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/16. Error Functions Around the World.html 6.27 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/16. 11 Other Attention Methods V2-VmsR9FVpQiM.pt-BR.vtt 6.26 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/04. Architecture of LSTM.html 6.25 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/07. Notebook Find Contours and Features.html 6.24 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/08. Solution Find Contours and Features.html 6.24 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/index.html 6.24 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/04. Overfitting and Underfitting.html 6.24 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/11. Notebook K-means Clustering.html 6.23 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/03. Notebook Find the Corners.html 6.22 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/03. Basics of LSTM.html 6.21 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/02. RNN vs LSTM.html 6.21 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/index.html 6.2 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/01. 01 Introduction To Attention V2-NCn97L5WbCY.en.vtt 6.19 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/02. Training Optimization.html 6.19 KB
Part 02-Module 01-Lesson 02_YOLO/03. Sliding Windows, Revisited.html 6.19 KB
Part 02-Module 01-Lesson 03_RNN's/24. RNN Summary-nXP0oGGRrO8.pt-BR.vtt 6.19 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/09. Demo Binary Floats.html 6.18 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/11. Demo Stack vs Heap.html 6.18 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/05. Early Stopping.html 6.18 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/05. Demo Machine Code.html 6.18 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/11. Transfer Learning Solution.html 6.18 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/01. Instructor.html 6.18 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/11. Vanishing Gradient.html 6.17 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/08. Demo Binary.html 6.17 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/02. Why Fully Convolutional Networks (FCNs) .html 6.17 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt 6.17 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt 6.16 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/index.html 6.16 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.es-ES.vtt 6.15 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/14. Learning Rate Decay.html 6.15 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/07. Regularization 2.html 6.15 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/10. Random Restart.html 6.14 KB
Part 02-Module 01-Lesson 02_YOLO/05. Using a Grid.html 6.13 KB
Part 02-Module 01-Lesson 02_YOLO/10. Intersection over Union (IoU).html 6.13 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/04. Fully Connected to 1x1 Convolution.html 6.13 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/09. Local Minima.html 6.13 KB
Part 02-Module 01-Lesson 02_YOLO/07. Generating Bounding Boxes.html 6.12 KB
Part 02-Module 01-Lesson 05_Hyperparameters/03. Learning Rate.html 6.12 KB
Part 04-Module 01-Lesson 01_Applying Deep Learning Models/02. DeepTraffic.html 6.12 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/15. Momentum.html 6.1 KB
Part 02-Module 01-Lesson 07_Image Captioning/11. On to the Project!.html 6.1 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/03. Fully Convolutional Networks.html 6.1 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/03. Testing.html 6.09 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/08. Dropout.html 6.09 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/06. Image Contours.html 6.09 KB
Part 02-Module 01-Lesson 02_YOLO/06. Training on a Grid.html 6.08 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.en.vtt 6.07 KB
Part 02-Module 01-Lesson 03_RNN's/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.pt-BR.vtt 6.07 KB
Part 02-Module 01-Lesson 02_YOLO/01. Introduction to YOLO.html 6.06 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/09. Semantic Segmentation.html 6.05 KB
Part 02-Module 01-Lesson 02_YOLO/09. Too Many Boxes.html 6.05 KB
Part 01-Module 01-Lesson 05_Feature Vectors/08. Scale and Rotation Invariance.html 6.05 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/11. Scene Understanding.html 6.04 KB
Part 01-Module 01-Lesson 05_Feature Vectors/03. Real-Time Feature Detection.html 6.04 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/10. K-means Implementation.html 6.04 KB
Part 02-Module 01-Lesson 02_YOLO/02. YOLO Output.html 6.04 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/index.html 6.03 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/06. Skip Connections.html 6.03 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/07. FCNs In The Wild.html 6.03 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/10. Moving Forward!.html 6.02 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/08. Bounding Boxes.html 6.01 KB
Part 01-Module 01-Lesson 05_Feature Vectors/04. Introduction to ORB.html 6 KB
Part 01-Module 01-Lesson 05_Feature Vectors/07. 04 Brief V4-EKIPEPpRciw.en.vtt 5.99 KB
Part 01-Module 01-Lesson 05_Feature Vectors/10. Feature Matching.html 5.98 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/index.html 5.97 KB
Part 01-Module 01-Lesson 05_Feature Vectors/11. ORB in Video.html 5.97 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/01. Intro.html 5.96 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/15. Outro.html 5.96 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/12. IoU.html 5.95 KB
Part 01-Module 01-Lesson 05_Feature Vectors/02. Feature Vectors.html 5.95 KB
Part 02-Module 01-Lesson 03_RNN's/13. 16 RNN B V4 Final-wsif3p5t7CI.pt-BR.vtt 5.93 KB
Part 01-Module 01-Lesson 05_Feature Vectors/07. BRIEF.html 5.91 KB
Part 09-Module 02-Lesson 03_Project Optimize Histogram Filter/04. GCC Flags.html 5.91 KB
Part 01-Module 01-Lesson 05_Feature Vectors/05. FAST.html 5.91 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/07. Creating a Filter-VEsdTRBH3D8.en.vtt 5.9 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/01. Instructor.html 5.86 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/07. Notebook Optical Flow and Motion Vectors.html 5.85 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/16. 11 Other Attention Methods V2-VmsR9FVpQiM.en.vtt 5.84 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/09. K-means Clustering-Cf_LSDCEBzk.zh-CN.vtt 5.84 KB
Part 02-Module 01-Lesson 05_Hyperparameters/05. Minibatch Size.html 5.84 KB
Part 04-Module 01-Lesson 01_Applying Deep Learning Models/04. Books to Read.html 5.82 KB
Part 02-Module 01-Lesson 05_Hyperparameters/01. Introducing Jay.html 5.82 KB
Part 02-Module 01-Lesson 08_Project Image Captioning/04. [submit from here] Project Image Captioning, PyTorch 0.4.html 5.82 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/02. Create an AWS Account.html 5.81 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/09. Pooling Layers-OkkIZNs7Cyc.pt-BR.vtt 5.81 KB
Part 02-Module 01-Lesson 03_RNN's/12. 14 RNN A V4 Final-ofbnDxGSUcg.pt-BR.vtt 5.8 KB
Part 02-Module 01-Lesson 08_Project Image Captioning/img/jupyter-logo.png 5.78 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/index.html 5.77 KB
Part 02-Module 01-Lesson 03_RNN's/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.en.vtt 5.76 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.en.vtt 5.76 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/diagonal-line-1.png 5.76 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.zh-CN.vtt 5.75 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.en.vtt 5.74 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.en.vtt 5.71 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/24. Confusion Matrix-Question 1-9GLNjmMUB_4.en.vtt 5.71 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/index.html 5.71 KB
Part 02-Module 01-Lesson 07_Image Captioning/03. Captions and the COCO Dataset.html 5.7 KB
Part 09-Module 01-Lesson 02_C++ Vectors/12. Next Lesson.html 5.7 KB
Part 02-Module 01-Lesson 03_RNN's/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.pt-BR.vtt 5.69 KB
assets/css/fonts/KaTeX_Size1-Regular.woff2 5.69 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/09. K-means Clustering.html 5.68 KB
Part 02-Module 01-Lesson 07_Image Captioning/02. Leveraging Neural Networks.html 5.68 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/01. Types of Features.html 5.67 KB
Part 09-Module 01-Lesson 05_Python and C++ Speed/02. Executing the Move Function.html 5.67 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/15. 10 Computer Vision Applications V3-bhWwc4BYTYc.zh-CN.vtt 5.67 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/01. CNN's and Scene Understanding.html 5.67 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction.html 5.66 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/02. Empathize with the Computer.html 5.66 KB
Part 01-Module 01-Lesson 07_Project Facial Keypoint Detection/03. Project Facial Keypoint Detection.html 5.66 KB
Part 03-Module 01-Lesson 09_Project Landmark Detection Tracking (SLAM)/02. Project Landmark Detection Tracking (SLAM).html 5.66 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/10. Detection With and Without Proposals.html 5.66 KB
Part 02-Module 01-Lesson 07_Image Captioning/01. Introduction to Image Captioning.html 5.64 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.en.vtt 5.64 KB
Part 02-Module 01-Lesson 03_RNN's/12. 14 RNN A V4 Final-ofbnDxGSUcg.en.vtt 5.64 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.en.vtt 5.64 KB
Part 02-Module 01-Lesson 07_Image Captioning/07. Tokenizing Captions.html 5.64 KB
Part 02-Module 01-Lesson 07_Image Captioning/10. Video Captioning.html 5.62 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/12. Outro.html 5.62 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/15. Canny Edge Detection-Nm1H2xMMS3I.en.vtt 5.62 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/02. More than Classification.html 5.62 KB
Part 02-Module 01-Lesson 03_RNN's/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.en.vtt 5.62 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/03. Course Outline.html 5.61 KB
Part 02-Module 01-Lesson 03_RNN's/24. RNN Summary-nXP0oGGRrO8.en.vtt 5.61 KB
Part 02-Module 01-Lesson 07_Image Captioning/06. The Glue, Feature Vector.html 5.61 KB
Part 01-Module 01-Lesson 05_Feature Vectors/08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.zh-CN.vtt 5.6 KB
Part 02-Module 01-Lesson 07_Image Captioning/05. CNN-RNN Model.html 5.6 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.zh-CN.vtt 5.6 KB
Part 02-Module 01-Lesson 05_Hyperparameters/02. Introduction.html 5.56 KB
Part 09-Module 02-Lesson 03_Project Optimize Histogram Filter/06. Solution Code.html 5.53 KB
Part 09-Module 02-Lesson 03_Project Optimize Histogram Filter/03. Project Code.html 5.53 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt 5.52 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/24. Confusion Matrix-Question 1-9GLNjmMUB_4.en-US.vtt 5.52 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.en.vtt 5.51 KB
Part 02-Module 01-Lesson 03_RNN's/16. 18 RNN Example V5 Final-MDLk3fhpTx0.pt-BR.vtt 5.46 KB
Part 02-Module 01-Lesson 03_RNN's/index.html 5.45 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/02. Architecture encoder decoder-dkHdEAJnV_w.en.vtt 5.45 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.zh-CN.vtt 5.44 KB
assets/css/fonts/KaTeX_Size2-Regular.woff2 5.43 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.en-US.vtt 5.42 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/01. 01 Introduction To Attention V2-NCn97L5WbCY.zh-CN.vtt 5.42 KB
Part 09-Module 02-Lesson 03_Project Optimize Histogram Filter/02. Project Walk Through.html 5.41 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.en.vtt 5.41 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/09. Pooling Layers-OkkIZNs7Cyc.en.vtt 5.4 KB
Part 03-Module 01-Lesson 03_Mini-project 2D Histogram Filter/02. Notebook - Two Dimensional Histogram Filter.html 5.4 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.zh-CN.vtt 5.37 KB
Part 02-Module 01-Lesson 05_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.en.vtt 5.36 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt 5.33 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.en.vtt 5.32 KB
Part 01-Module 01-Lesson 05_Feature Vectors/07. 04 Brief V4-EKIPEPpRciw.zh-CN.vtt 5.32 KB
Part 02-Module 01-Lesson 03_RNN's/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.zh-CN.vtt 5.32 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.zh-CN.vtt 5.3 KB
Part 02-Module 01-Lesson 03_RNN's/13. 16 RNN B V4 Final-wsif3p5t7CI.en.vtt 5.3 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt 5.29 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. Combinando modelos-Boy3zHVrWB4.en.vtt 5.29 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/01. Object Tracking.html 5.29 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/02. Localization Intro.html 5.28 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/index.html 5.26 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/index.html 5.25 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/07. Creating a Filter-VEsdTRBH3D8.zh-CN.vtt 5.25 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/index.html 5.25 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/04. Optical Flow.html 5.24 KB
Part 03-Module 01-Lesson 02_Robot Localization/06. 05 Total Probability V4-RCEieE2t8U4.zh-CN.vtt 5.24 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/01. Instructor.html 5.22 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/03. Motion.html 5.21 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/03. LSTM Basics-gjb68a4XsqE.en.vtt 5.21 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/index.html 5.2 KB
Part 03-Module 01-Lesson 03_Mini-project 2D Histogram Filter/01. Project Overview.html 5.18 KB
Part 02-Module 01-Lesson 03_RNN's/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.en.vtt 5.16 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/16. 11 Other Attention Methods V2-VmsR9FVpQiM.zh-CN.vtt 5.12 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/10. Mini Project 2 Solution-45ihpPaeO8E.en.vtt 5.12 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/02. Why Neural Networks.html 5.11 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/index.html 5.11 KB
Part 01-Module 01-Lesson 05_Feature Vectors/13. Histogram of Oriented Gradients-dqe9zGtxoNM.en.vtt 5.09 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/06. Image Contours-Wcbrl7Wr_kU.en.vtt 5.08 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/index.html 5.07 KB
assets/css/fonts/KaTeX_Size4-Regular.woff2 5.06 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/03. LSTM Basics-gjb68a4XsqE.pt-BR.vtt 5.06 KB
Part 02-Module 01-Lesson 03_RNN's/12. 14 RNN A V4 Final-ofbnDxGSUcg.zh-CN.vtt 5.05 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.zh-CN.vtt 5.05 KB
Part 02-Module 01-Lesson 03_RNN's/16. 18 RNN Example V5 Final-MDLk3fhpTx0.en.vtt 5.05 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/15. Canny Edge Detection-Nm1H2xMMS3I.zh-CN.vtt 5.05 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt 5.05 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/08. Transforming Text into Numbers-7rHBU5cbePE.en.vtt 5.04 KB
Part 02-Module 01-Lesson 02_YOLO/03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.en.vtt 5.01 KB
Part 09-Module 02-Lesson 03_Project Optimize Histogram Filter/05. Project Solution.html 5 KB
Part 02-Module 01-Lesson 03_RNN's/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.zh-CN.vtt 4.96 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/24. Confusion Matrix-Question 1-9GLNjmMUB_4.zh-CN.vtt 4.96 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/21. Labeled Data and Accuracy-FN96OM_JGyM.en.vtt 4.95 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.zh-CN.vtt 4.94 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/index.html 4.92 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/02. Architecture encoder decoder-dkHdEAJnV_w.pt-BR.vtt 4.92 KB
Part 09-Module 01-Lesson 05_Python and C++ Speed/01. Introduction.html 4.91 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/04. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.en.vtt 4.9 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.zh-CN.vtt 4.89 KB
Part 02-Module 01-Lesson 03_RNN's/24. RNN Summary-nXP0oGGRrO8.zh-CN.vtt 4.89 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/10. K-means Implementation-poKlg-aB4rU.en.vtt 4.89 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.zh-CN.vtt 4.88 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.ja.vtt 4.87 KB
Part 03-Module 01-Lesson 03_Mini-project 2D Histogram Filter/03. Testing on Your Own.html 4.87 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/02. Architecture encoder decoder-dkHdEAJnV_w.zh-CN.vtt 4.82 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/10. Low-pass Filters-jy5Be9vf2rk.en.vtt 4.81 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.en.vtt 4.8 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.zh-CN.vtt 4.79 KB
Part 02-Module 01-Lesson 05_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.pt-BR.vtt 4.77 KB
Part 02-Module 01-Lesson 05_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.zh-CN.vtt 4.77 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/24. Confusion Matrix-Question 1-9GLNjmMUB_4.pt-BR.vtt 4.76 KB
Part 02-Module 01-Lesson 03_RNN's/02. 01 RNN Intro V6 Final-AIQEqg6F38A.pt-BR.vtt 4.75 KB
Part 09-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.en.vtt 4.74 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.zh-CN.vtt 4.73 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/10. Car Object-SnfhGZ76h7Y.en.vtt 4.72 KB
Part 02-Module 01-Lesson 02_YOLO/13. 10 Anchor Boxes V3-IzILYgVb76g.en.vtt 4.72 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/02. RNN Vs LSTM-70MgF-IwAr8.en.vtt 4.71 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/index.html 4.71 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/16. Dropout-Ty6K6YiGdBs.en.vtt 4.71 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/08. Dropout-Ty6K6YiGdBs.en.vtt 4.71 KB
Part 02-Module 01-Lesson 03_RNN's/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.pt-BR.vtt 4.7 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.zh-CN.vtt 4.67 KB
assets/css/fonts/KaTeX_Size3-Regular.woff 4.66 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/16. Dropout-Ty6K6YiGdBs.pt-BR.vtt 4.66 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/08. Dropout-Ty6K6YiGdBs.pt-BR.vtt 4.66 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/index.html 4.65 KB
Part 02-Module 01-Lesson 03_RNN's/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.pt-BR.vtt 4.65 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.zh-CN.vtt 4.65 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt 4.64 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/09. Pooling Layers-OkkIZNs7Cyc.zh-CN.vtt 4.64 KB
Part 02-Module 01-Lesson 03_RNN's/16. 18 RNN Example V5 Final-MDLk3fhpTx0.zh-CN.vtt 4.63 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt 4.63 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/13. 09 Additive Attention V2-93VfVWZ-IvY.en.vtt 4.63 KB
Part 02-Module 01-Lesson 02_YOLO/index.html 4.62 KB
Part 02-Module 01-Lesson 03_RNN's/13. 16 RNN B V4 Final-wsif3p5t7CI.zh-CN.vtt 4.62 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt 4.61 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/index.html 4.61 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/03. LSTM Basics-gjb68a4XsqE.zh-CN.vtt 4.59 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/06. Image Contours-Wcbrl7Wr_kU.zh-CN.vtt 4.56 KB
Part 02-Module 01-Lesson 03_RNN's/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.pt-BR.vtt 4.56 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/10. Mini Project 2 Solution-45ihpPaeO8E.zh-CN.vtt 4.56 KB
Part 01-Module 01-Lesson 05_Feature Vectors/index.html 4.54 KB
Part 02-Module 01-Lesson 03_RNN's/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.en.vtt 4.53 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/13. 09 Additive Attention V2-93VfVWZ-IvY.pt-BR.vtt 4.52 KB
Part 02-Module 01-Lesson 03_RNN's/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.zh-CN.vtt 4.52 KB
Part 01-Module 01-Lesson 05_Feature Vectors/13. Histogram of Oriented Gradients-dqe9zGtxoNM.zh-CN.vtt 4.49 KB
Part 02-Module 01-Lesson 02_YOLO/03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.zh-CN.vtt 4.46 KB
Part 01-Module 01-Lesson 05_Feature Vectors/10. 07 Feature Matching V2-RH05Wnl1-2A.en.vtt 4.46 KB
Part 02-Module 01-Lesson 03_RNN's/02. 01 RNN Intro V6 Final-AIQEqg6F38A.en.vtt 4.46 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/10. Car Object-SnfhGZ76h7Y.zh-CN.vtt 4.46 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/10. K-means Implementation-poKlg-aB4rU.zh-CN.vtt 4.41 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/21. Labeled Data and Accuracy-FN96OM_JGyM.zh-CN.vtt 4.41 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.en.vtt 4.4 KB
Part 02-Module 01-Lesson 03_RNN's/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.en.vtt 4.4 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/index.html 4.37 KB
Part 02-Module 01-Lesson 03_RNN's/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.en.vtt 4.35 KB
Part 01-Module 01-Lesson 05_Feature Vectors/05. 03 Fast V3-DCHAc6fjcVM.en.vtt 4.34 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/08. Transforming Text into Numbers-7rHBU5cbePE.zh-CN.vtt 4.34 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/index.html 4.32 KB
Part 02-Module 01-Lesson 03_RNN's/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.pt-BR.vtt 4.32 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/index.html 4.32 KB
Part 09-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.zh-CN.vtt 4.31 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/04. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.zh-CN.vtt 4.31 KB
Part 09-Module 01-Lesson 02_C++ Vectors/index.html 4.29 KB
Part 02-Module 01-Lesson 07_Image Captioning/index.html 4.28 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.pt-BR.vtt 4.26 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/index.html 4.26 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/08. Transforming Text into Numbers-7rHBU5cbePE.pt-BR.vtt 4.24 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.en.vtt 4.24 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/index.html 4.24 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/02. RNN Vs LSTM-70MgF-IwAr8.pt-BR.vtt 4.24 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt 4.22 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/10. Low-pass Filters-jy5Be9vf2rk.zh-CN.vtt 4.22 KB
Part 02-Module 01-Lesson 05_Hyperparameters/index.html 4.18 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.en.vtt 4.11 KB
Part 02-Module 01-Lesson 02_YOLO/13. 10 Anchor Boxes V3-IzILYgVb76g.zh-CN.vtt 4.11 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.zh-CN.vtt 4.1 KB
Part 02-Module 01-Lesson 07_Image Captioning/09. 07 RNN Training V4-P-tHxD7kRmA.en.vtt 4.07 KB
Part 02-Module 01-Lesson 03_RNN's/03. 02 RNN History V4 Final-HbxAnYUfRnc.pt-BR.vtt 4.06 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/16. Dropout-Ty6K6YiGdBs.zh-CN.vtt 4.06 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/08. Dropout-Ty6K6YiGdBs.zh-CN.vtt 4.06 KB
Part 02-Module 01-Lesson 03_RNN's/02. 01 RNN Intro V6 Final-AIQEqg6F38A.zh-CN.vtt 4.05 KB
Part 09-Module 01-Lesson 03_Practical C++/index.html 4.05 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/index.html 4.03 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.zh-CN.vtt 4.03 KB
Part 02-Module 01-Lesson 03_RNN's/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.zh-CN.vtt 4.03 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.en.vtt 4.03 KB
Part 02-Module 01-Lesson 03_RNN's/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.en.vtt 4.03 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/19. 17 Confident Measurements QUIZ RENDER V2-WRANOBm89I4.en.vtt 4.03 KB
Part 02-Module 01-Lesson 08_Project Image Captioning/index.html 4.02 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/13. 09 Additive Attention V2-93VfVWZ-IvY.zh-CN.vtt 4 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/img/vector-column.png 3.98 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/20. State Transformation Matrix-DRRuQMYo800.en.vtt 3.97 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/10. Mini Project 2 Solution-45ihpPaeO8E.pt-BR.vtt 3.95 KB
Part 03-Module 01-Lesson 09_Project Landmark Detection Tracking (SLAM)/index.html 3.94 KB
Part 01-Module 01-Lesson 07_Project Facial Keypoint Detection/index.html 3.94 KB
Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/index.html 3.88 KB
Part 02-Module 01-Lesson 05_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.en.vtt 3.87 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.en.vtt 3.85 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/20. Hough Line Detection-PVIUkQKbrUw.en.vtt 3.83 KB
Part 09-Module 02-Lesson 03_Project Optimize Histogram Filter/index.html 3.83 KB
Part 02-Module 01-Lesson 03_RNN's/img/screen-shot-2018-01-02-at-2.44.44-pm.png 3.83 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/11. Gaussian Blur-1tlPonqIOrU.en.vtt 3.83 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.en.vtt 3.82 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.en.vtt 3.81 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/index.html 3.8 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/15. Approximating The Integral-9C05AHzI_I8.en.vtt 3.8 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/06. 4 HSA Learning In The Classroom V3 Demov1 V3-KN_SROb6SnM.en.vtt 3.8 KB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.zh-CN.vtt 3.78 KB
Part 09-Module 01-Lesson 05_Python and C++ Speed/index.html 3.77 KB
Part 01-Module 01-Lesson 05_Feature Vectors/10. 07 Feature Matching V2-RH05Wnl1-2A.zh-CN.vtt 3.77 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.zh-CN.vtt 3.77 KB
assets/css/fonts/KaTeX_Size3-Regular.woff2 3.77 KB
assets/css/styles.css 3.76 KB
Part 02-Module 01-Lesson 03_RNN's/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.zh-CN.vtt 3.76 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.zh-CN.vtt 3.72 KB
Part 02-Module 01-Lesson 05_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.pt-BR.vtt 3.71 KB
Part 03-Module 01-Lesson 03_Mini-project 2D Histogram Filter/index.html 3.71 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/18. Hough Transform-RIOzsF1_xuo.en.vtt 3.69 KB
Part 04-Module 01-Lesson 01_Applying Deep Learning Models/index.html 3.68 KB
Part 02-Module 01-Lesson 03_RNN's/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.zh-CN.vtt 3.68 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.pt-BR.vtt 3.68 KB
Part 01-Module 01-Lesson 05_Feature Vectors/05. 03 Fast V3-DCHAc6fjcVM.zh-CN.vtt 3.67 KB
Part 02-Module 01-Lesson 03_RNN's/03. 02 RNN History V4 Final-HbxAnYUfRnc.en.vtt 3.67 KB
Part 02-Module 01-Lesson 03_RNN's/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.pt-BR.vtt 3.66 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion-WhpE_8sTt-0.en.vtt 3.64 KB
Part 02-Module 01-Lesson 02_YOLO/07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.en.vtt 3.63 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.zh-CN.vtt 3.62 KB
Part 02-Module 01-Lesson 05_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.zh-CN.vtt 3.62 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/09. 06 Attention Decoder V1-5mMz6nN9_Ss.pt-BR.vtt 3.61 KB
Part 02-Module 01-Lesson 07_Image Captioning/09. 07 RNN Training V4-P-tHxD7kRmA.zh-CN.vtt 3.61 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/20. State Transformation Matrix-DRRuQMYo800.zh-CN.vtt 3.6 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.en.vtt 3.6 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/14. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.en.vtt 3.59 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/11. Gaussian Blur-1tlPonqIOrU.zh-CN.vtt 3.57 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/23. Haar Cascades-vALIpxVfKRc.en.vtt 3.57 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.zh-CN.vtt 3.56 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.en.vtt 3.54 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/18. 16 Introducing Noise Solution RENDER V1-X5kh82oke5w.en.vtt 3.52 KB
Part 02-Module 01-Lesson 03_RNN's/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.zh-CN.vtt 3.52 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/18. Hough Transform-RIOzsF1_xuo.zh-CN.vtt 3.5 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/20. Hough Line Detection-PVIUkQKbrUw.zh-CN.vtt 3.5 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/06. 05 Region Proposals V1 RENDER V2-HLwpr7h3rPY.en.vtt 3.5 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/img/vector-example.png 3.47 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/13. Character-Wise RNN-m_S2hs6-j5w.en.vtt 3.46 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt 3.44 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.en.vtt 3.43 KB
Part 02-Module 01-Lesson 02_YOLO/05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.en.vtt 3.41 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt 3.41 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. Layers-pg99FkXYK0M.en.vtt 3.4 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.en.vtt 3.4 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/06. 4 HSA Learning In The Classroom V3 Demov1 V3-KN_SROb6SnM.zh-CN.vtt 3.39 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.en.vtt 3.36 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.en.vtt 3.34 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt 3.34 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/09. 06 Attention Decoder V1-5mMz6nN9_Ss.en.vtt 3.33 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.zh-CN.vtt 3.3 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/11. Building a Neural Network-aM2k7RTjjJI.en.vtt 3.3 KB
Part 02-Module 01-Lesson 03_RNN's/03. 02 RNN History V4 Final-HbxAnYUfRnc.zh-CN.vtt 3.29 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.ru.vtt 3.29 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. Layers-pg99FkXYK0M.pt-BR.vtt 3.29 KB
Part 02-Module 01-Lesson 03_RNN's/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.en.vtt 3.29 KB
Part 02-Module 01-Lesson 07_Image Captioning/08. Tokenization-4Ieotbeh4u8.pt-BR.vtt 3.28 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/19. 17 Confident Measurements QUIZ RENDER V2-WRANOBm89I4.zh-CN.vtt 3.28 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/06. 04 Attention Overview Decoding V2-DJxiPd585GY.pt-BR.vtt 3.28 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion-WhpE_8sTt-0.pt-BR.vtt 3.28 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion-WhpE_8sTt-0.zh-CN.vtt 3.26 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.ru.vtt 3.26 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/23. Haar Cascades-vALIpxVfKRc.zh-CN.vtt 3.24 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/06. 04 Attention Overview Decoding V2-DJxiPd585GY.en.vtt 3.24 KB
Part 02-Module 01-Lesson 05_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.en.vtt 3.23 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.en.vtt 3.23 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/09. Always Moving-EQBQlHvxAQA.en.vtt 3.2 KB
Part 02-Module 01-Lesson 02_YOLO/07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.zh-CN.vtt 3.17 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.zh-CN.vtt 3.16 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/15. Approximating The Integral-9C05AHzI_I8.zh-CN.vtt 3.16 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.en.vtt 3.15 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.en.vtt 3.09 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/07. 06 RCNN V1 RENDER V2-EchapZJMTYU.en.vtt 3.08 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/06. 05 Region Proposals V1 RENDER V2-HLwpr7h3rPY.zh-CN.vtt 3.08 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.zh-CN.vtt 3.06 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. Layers-pg99FkXYK0M.zh-CN.vtt 3.04 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/21. ROC Curve-fWwe_JlpnlQ.en.vtt 3.04 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/13. Character-Wise RNN-m_S2hs6-j5w.zh-CN.vtt 3.04 KB
Part 02-Module 01-Lesson 02_YOLO/05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.zh-CN.vtt 3.03 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/01. 02 SLAM V1-UVkkDPJshgM.en.vtt 3.02 KB
Part 02-Module 01-Lesson 05_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.pt-BR.vtt 3.02 KB
Part 02-Module 01-Lesson 03_RNN's/04. 03 RNN Applications V3 Final-6JbTNARuKII.pt-BR.vtt 3.02 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt 3.02 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/01. Types Of Features-cJHro29nzgg.en.vtt 3.01 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.zh-CN.vtt 3.01 KB
Part 01-Module 01-Lesson 05_Feature Vectors/11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.en.vtt 3 KB
Part 02-Module 01-Lesson 02_YOLO/12. 09 NonMaximal Suppression V1-TE6M29Jo9hk.en.vtt 2.99 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/04. 09. Training a Model-m4GVfwVkj74.en.vtt 2.98 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/09. 06 Attention Decoder V1-5mMz6nN9_Ss.zh-CN.vtt 2.98 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.zh-CN.vtt 2.98 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/08. 05 Attention Encoder V2-sphe9LDT4rA.pt-BR.vtt 2.97 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/18. 16 Introducing Noise Solution RENDER V1-X5kh82oke5w.zh-CN.vtt 2.96 KB
Part 02-Module 01-Lesson 07_Image Captioning/07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.en.vtt 2.94 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/01. Localization Steps-4SiMoSTf4rQ.en.vtt 2.94 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/14. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.zh-CN.vtt 2.91 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/19. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.en.vtt 2.91 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/10. Color Images--XbXiiGQ9gw.en.vtt 2.89 KB
Part 02-Module 01-Lesson 07_Image Captioning/08. Tokenization-4Ieotbeh4u8.en.vtt 2.89 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/11. Building a Neural Network-aM2k7RTjjJI.zh-CN.vtt 2.88 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt 2.88 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/11. Building a Neural Network-aM2k7RTjjJI.pt-BR.vtt 2.88 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/13. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.en.vtt 2.85 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.en.vtt 2.85 KB
Part 03-Module 01-Lesson 02_Robot Localization/33. 27 Sense And Move V2-v2dYzm6-YVs.en.vtt 2.85 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/06. 02 Brightness Constancy Assumption V3-GHz9Yzt5tro.en.vtt 2.84 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.zh-CN.vtt 2.84 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.zh-CN.vtt 2.84 KB
Part 02-Module 01-Lesson 05_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.zh-CN.vtt 2.82 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/01. 02 SLAM V1-UVkkDPJshgM.zh-CN.vtt 2.79 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.zh-CN.vtt 2.79 KB
Part 02-Module 01-Lesson 03_RNN's/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.zh-CN.vtt 2.79 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/04. 04 Implementing Constraints Quiz V1-2V3ZF08TcX8.en.vtt 2.78 KB
Part 01-Module 01-Lesson 04_Types of Features Image Segmentation/01. Types Of Features-cJHro29nzgg.zh-CN.vtt 2.77 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/08. 05 Attention Encoder V2-sphe9LDT4rA.en.vtt 2.76 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt 2.76 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/05. 01 Motion Vector V2-I3f3IEUI2tg.en.vtt 2.75 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/09. Always Moving-EQBQlHvxAQA.zh-CN.vtt 2.75 KB
Part 02-Module 01-Lesson 02_YOLO/14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.en.vtt 2.74 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.en.vtt 2.74 KB
Part 03-Module 01-Lesson 02_Robot Localization/04. 概率分布入门 2-PglBg4eb_5M.en.vtt 2.74 KB
Part 02-Module 01-Lesson 03_RNN's/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.pt-BR.vtt 2.73 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/06. 04 Attention Overview Decoding V2-DJxiPd585GY.zh-CN.vtt 2.73 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/23. Andrew Trask - Outro-nIF0GLOQglQ.en-US.vtt 2.73 KB
Part 02-Module 01-Lesson 03_RNN's/04. 03 RNN Applications V3 Final-6JbTNARuKII.en.vtt 2.71 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/07. 06 RCNN V1 RENDER V2-EchapZJMTYU.zh-CN.vtt 2.7 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/16. 动量-r-rYz_PEWC8.pt-BR.vtt 2.7 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/15. Momentum-r-rYz_PEWC8.pt-BR.vtt 2.7 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/01. Localization Steps-4SiMoSTf4rQ.zh-CN.vtt 2.69 KB
Part 02-Module 01-Lesson 03_RNN's/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.pt-BR.vtt 2.69 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.zh-CN.vtt 2.69 KB
Part 02-Module 01-Lesson 07_Image Captioning/07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.zh-CN.vtt 2.69 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/12. Other Activation Functions-kA-1vUt6cvQ.en.vtt 2.68 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.en.vtt 2.67 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.en.vtt 2.67 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/06. Learn Gate-aVHVI7ovbHY.pt-BR.vtt 2.66 KB
Part 02-Module 01-Lesson 02_YOLO/02. 02 YOLO Output V2-MyOuuwk0qC4.en.vtt 2.66 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.zh-CN.vtt 2.66 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/12. Validating The Training-Oxm9ofvov3I.en.vtt 2.65 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.zh-CN.vtt 2.65 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/14. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.en.vtt 2.64 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/21. ROC Curve-fWwe_JlpnlQ.pt-BR.vtt 2.64 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/06. Learn Gate-aVHVI7ovbHY.en.vtt 2.63 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/02. Applications seq2seq-tDJBDwriJYQ.en.vtt 2.63 KB
Part 01-Module 01-Lesson 05_Feature Vectors/02. Feature Vectors--PF1_MITrOw.en.vtt 2.63 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.en.vtt 2.6 KB
Part 02-Module 01-Lesson 07_Image Captioning/08. Tokenization-4Ieotbeh4u8.zh-CN.vtt 2.59 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/04. 09. Training a Model-m4GVfwVkj74.zh-CN.vtt 2.59 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/21. ROC Curve-fWwe_JlpnlQ.zh-CN.vtt 2.58 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.zh-CN.vtt 2.57 KB
Part 02-Module 01-Lesson 03_RNN's/04. 03 RNN Applications V3 Final-6JbTNARuKII.zh-CN.vtt 2.56 KB
Part 01-Module 01-Lesson 05_Feature Vectors/11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.zh-CN.vtt 2.56 KB
Part 02-Module 01-Lesson 03_RNN's/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.en.vtt 2.55 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/12. Other Activation Functions-kA-1vUt6cvQ.pt-BR.vtt 2.55 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/06. 02 Brightness Constancy Assumption V3-GHz9Yzt5tro.zh-CN.vtt 2.53 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/07. Image Formation-6ZVnQYzfpis.en.vtt 2.52 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.zh-CN.vtt 2.51 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/06. Learn Gate-aVHVI7ovbHY.zh-CN.vtt 2.51 KB
Part 02-Module 01-Lesson 03_RNN's/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.en.vtt 2.51 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/02. Applications seq2seq-tDJBDwriJYQ.pt-BR.vtt 2.5 KB
Part 02-Module 01-Lesson 02_YOLO/12. 09 NonMaximal Suppression V1-TE6M29Jo9hk.zh-CN.vtt 2.5 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/03. Motion Models-qSdbn_PVQnk.en.vtt 2.5 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/16. 动量-r-rYz_PEWC8.en.vtt 2.5 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/15. Momentum-r-rYz_PEWC8.en.vtt 2.5 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/10. Color Images--XbXiiGQ9gw.zh-CN.vtt 2.49 KB
Part 02-Module 01-Lesson 02_YOLO/14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.zh-CN.vtt 2.49 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/11. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.en.vtt 2.48 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/23. Andrew Trask - Outro-nIF0GLOQglQ.zh-CN.vtt 2.48 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/19. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.zh-CN.vtt 2.47 KB
Part 01-Module 01-Lesson 05_Feature Vectors/02. Feature Vectors--PF1_MITrOw.zh-CN.vtt 2.45 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/16. Other Architectures-MsxFDuYlTuQ.pt-BR.vtt 2.45 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.zh-CN.vtt 2.44 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/08. 05 Attention Encoder V2-sphe9LDT4rA.zh-CN.vtt 2.44 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/13. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.zh-CN.vtt 2.42 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/10. Putting It All Together-IF8FlKW-Zo0.en.vtt 2.42 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/02. Applications seq2seq-tDJBDwriJYQ.zh-CN.vtt 2.41 KB
Part 02-Module 01-Lesson 07_Image Captioning/01. 01 L Introduction V3-dobNslC2y-o.en.vtt 2.41 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/03. Testing-EeBZpb-PSac.en.vtt 2.41 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.zh-CN.vtt 2.41 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.en.vtt 2.4 KB
Part 03-Module 01-Lesson 02_Robot Localization/33. 27 Sense And Move V2-v2dYzm6-YVs.zh-CN.vtt 2.39 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.en.vtt 2.39 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/25. Solving Trig Problems Part1-qI4i845d7Qg.en.vtt 2.38 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.zh-CN.vtt 2.38 KB
Part 03-Module 01-Lesson 02_Robot Localization/04. 概率分布入门 2-PglBg4eb_5M.zh-CN.vtt 2.38 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/04. 04 Implementing Constraints Quiz V1-2V3ZF08TcX8.zh-CN.vtt 2.38 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/03. Testing-EeBZpb-PSac.pt-BR.vtt 2.37 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/10. Putting It All Together-IF8FlKW-Zo0.pt-BR.vtt 2.36 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/05. 01 Motion Vector V2-I3f3IEUI2tg.zh-CN.vtt 2.35 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/12. Other Activation Functions-kA-1vUt6cvQ.zh-CN.vtt 2.34 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.en.vtt 2.34 KB
Part 02-Module 01-Lesson 05_Hyperparameters/02. Introduction-erwnzFD7AeE.en.vtt 2.34 KB
Part 02-Module 01-Lesson 02_YOLO/02. 02 YOLO Output V2-MyOuuwk0qC4.zh-CN.vtt 2.31 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/16. Other Architectures-MsxFDuYlTuQ.en.vtt 2.31 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/12. Validating The Training-Oxm9ofvov3I.zh-CN.vtt 2.31 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/02. 05. Emotional Intelligence-D_LzJsJH5qk.en.vtt 2.3 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/08. 04 Tracking Features V2-uFf6IZ5MxgU.en.vtt 2.29 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/03. 3 HSA Course Outline V3 Demo01 1 V3-INMNyJGB2DI.en.vtt 2.28 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/12. Validating The Training-Oxm9ofvov3I.pt-BR.vtt 2.28 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/08. 07 Fast RCNN V1 RENDER V2-6FOBZ9OgWlY.en.vtt 2.26 KB
Part 03-Module 01-Lesson 02_Robot Localization/25. 20 Inexact Motion 1 V3-hHAwFNsIp1c.en.vtt 2.26 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.en.vtt 2.26 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/07. Image Formation-6ZVnQYzfpis.zh-CN.vtt 2.25 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.en.vtt 2.23 KB
Part 02-Module 01-Lesson 02_YOLO/01. 01 Introduction V3-uyefSrHZesY.en.vtt 2.23 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/16. 动量-r-rYz_PEWC8.zh-CN.vtt 2.21 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/15. Momentum-r-rYz_PEWC8.zh-CN.vtt 2.21 KB
Part 02-Module 01-Lesson 03_RNN's/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.zh-CN.vtt 2.2 KB
Part 02-Module 01-Lesson 02_YOLO/06. 05 Training On A Grid V2-uhefpakvXh8.en.vtt 2.2 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.es-ES.vtt 2.19 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/14. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.zh-CN.vtt 2.19 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.pt-BR.vtt 2.19 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.en.vtt 2.19 KB
Part 03-Module 01-Lesson 02_Robot Localization/03. Usando dados do sensor-vhl-SADfti8.ar.vtt 2.19 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/23. Andrew Trask - Outro-nIF0GLOQglQ.pt-BR.vtt 2.19 KB
Part 01-Module 01-Lesson 05_Feature Vectors/04. 02 Introduction To ORB V3-WN37zcMhMas.en.vtt 2.18 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/03. Motion Models-qSdbn_PVQnk.zh-CN.vtt 2.17 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/23. What Is The Neural Network Looking At-qN-rvoxPbBw.en.vtt 2.17 KB
Part 02-Module 01-Lesson 03_RNN's/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.zh-CN.vtt 2.17 KB
Part 02-Module 01-Lesson 05_Hyperparameters/02. Introduction-erwnzFD7AeE.pt-BR.vtt 2.17 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.en.vtt 2.16 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/14. Sequence Batching-pdSr5F-9qE0.en.vtt 2.14 KB
Part 02-Module 01-Lesson 07_Image Captioning/05. 04 CNNRNN Model V3-n7kdMiX1Xz8.en.vtt 2.14 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.zh-CN.vtt 2.13 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/10. Putting It All Together-IF8FlKW-Zo0.zh-CN.vtt 2.13 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt 2.12 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.zh-CN.vtt 2.12 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt 2.12 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.ja.vtt 2.12 KB
Part 02-Module 01-Lesson 07_Image Captioning/01. 01 L Introduction V3-dobNslC2y-o.zh-CN.vtt 2.11 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.en.vtt 2.1 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/img/sigmoid-derivative.gif 2.09 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.es-ES.vtt 2.08 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. Multiclass Classification-uNTtvxwfox0.en.vtt 2.08 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.es.vtt 2.08 KB
Part 02-Module 01-Lesson 07_Image Captioning/03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.en.vtt 2.06 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/01. 惯性导航-vWgG0d2HOVE.en.vtt 2.05 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/05. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.en.vtt 2.04 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/16. Other Architectures-MsxFDuYlTuQ.zh-CN.vtt 2.04 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/12. IoU---9BTjOsO6U.en.vtt 2.04 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/11. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.zh-CN.vtt 2.03 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.zh-CN.vtt 2.02 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.zh-CN.vtt 2.02 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.en.vtt 2.02 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/02. 05. Emotional Intelligence-D_LzJsJH5qk.zh-CN.vtt 2.02 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/03. 3 HSA Course Outline V3 Demo01 1 V3-INMNyJGB2DI.zh-CN.vtt 2.01 KB
Part 03-Module 01-Lesson 02_Robot Localization/08. 09 Probability After Sense V1-aWQMJQQmNGw.en.vtt 2.01 KB
Part 02-Module 01-Lesson 05_Hyperparameters/02. Introduction-erwnzFD7AeE.zh-CN.vtt 2.01 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.pt-PT.vtt 1.99 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.ja.vtt 1.99 KB
Part 03-Module 01-Lesson 02_Robot Localization/05. 03 Localization V1-OB6GZxfvESw.en.vtt 1.99 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.pt.vtt 1.99 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/03. Testing-EeBZpb-PSac.zh-CN.vtt 1.99 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/08. 04 Tracking Features V2-uFf6IZ5MxgU.zh-CN.vtt 1.98 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/05. The Data-2RLbbV7MQNA.en.vtt 1.97 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/08. 07 Fast RCNN V1 RENDER V2-6FOBZ9OgWlY.zh-CN.vtt 1.97 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt 1.97 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/05. 03 Attention Overview Encoding V2-IctAnMaVUKc.pt-BR.vtt 1.96 KB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.zh-CN.vtt 1.95 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/25. Solving Trig Problems Part1-qI4i845d7Qg.zh-CN.vtt 1.95 KB
Part 02-Module 01-Lesson 02_YOLO/06. 05 Training On A Grid V2-uhefpakvXh8.zh-CN.vtt 1.94 KB
Part 02-Module 01-Lesson 02_YOLO/01. 01 Introduction V3-uyefSrHZesY.zh-CN.vtt 1.94 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/09. 08 Faster RCNN V1 RENDER V2-ySh_Q3KTTBY.en.vtt 1.92 KB
Part 02-Module 01-Lesson 07_Image Captioning/05. 04 CNNRNN Model V3-n7kdMiX1Xz8.zh-CN.vtt 1.92 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/14. Sequence Batching-pdSr5F-9qE0.zh-CN.vtt 1.91 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.zh-CN.vtt 1.91 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/06. AffdexMe Demo-dpFtXDqakvY.en.vtt 1.91 KB
Part 03-Module 01-Lesson 02_Robot Localization/38. Lesson Overview C++-lR3PH3bL-9U.en.vtt 1.91 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.en.vtt 1.91 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.en.vtt 1.9 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.en.vtt 1.9 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/20. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.en.vtt 1.9 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.en.vtt 1.89 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.zh-CN.vtt 1.89 KB
Part 03-Module 01-Lesson 02_Robot Localization/36. Sense And Move 2 Solution Director'SCut-7gl2GF-laOQ.en.vtt 1.89 KB
Part 03-Module 01-Lesson 02_Robot Localization/02. Reduzindo a incerteza-zuFMhmKQ--o.ar.vtt 1.88 KB
Part 03-Module 01-Lesson 02_Robot Localization/25. 20 Inexact Motion 1 V3-hHAwFNsIp1c.zh-CN.vtt 1.88 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/23. What Is The Neural Network Looking At-qN-rvoxPbBw.zh-CN.vtt 1.87 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.zh-CN.vtt 1.86 KB
Part 03-Module 01-Lesson 02_Robot Localization/03. Usando dados do sensor-vhl-SADfti8.pt-BR.vtt 1.86 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/23. Nd113 C7 29 L Features-HshygbfQylA.en.vtt 1.86 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/02. 02 Skin Cancer V4-70jGZeiTNgk.en.vtt 1.86 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/22. Visualization-aGIGB4Ta3_A.en.vtt 1.85 KB
Part 01-Module 01-Lesson 05_Feature Vectors/04. 02 Introduction To ORB V3-WN37zcMhMas.zh-CN.vtt 1.84 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/05. 03 Attention Overview Encoding V2-IctAnMaVUKc.en.vtt 1.84 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/01. 惯性导航-vWgG0d2HOVE.zh-CN.vtt 1.83 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt 1.82 KB
Part 03-Module 01-Lesson 02_Robot Localization/08. 09 Probability After Sense V1-aWQMJQQmNGw.zh-CN.vtt 1.82 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/28. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.en.vtt 1.8 KB
Part 02-Module 01-Lesson 07_Image Captioning/03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.zh-CN.vtt 1.8 KB
Part 03-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.pt-PT.vtt 1.79 KB
Part 03-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.it.vtt 1.79 KB
Part 03-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.pt.vtt 1.78 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.zh-CN.vtt 1.78 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/22. Visualization-aGIGB4Ta3_A.pt-BR.vtt 1.78 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/04. Optical Flow-TOS8UJwCtTg.en.vtt 1.78 KB
Part 03-Module 01-Lesson 02_Robot Localization/05. 03 Localization V1-OB6GZxfvESw.zh-CN.vtt 1.78 KB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.zh-CN.vtt 1.77 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/13. Color Thresholds-08ZlYZJaiUg.en.vtt 1.77 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.zh-CN.vtt 1.77 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/05. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.zh-CN.vtt 1.77 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/12. IoU---9BTjOsO6U.zh-CN.vtt 1.76 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/20. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.zh-CN.vtt 1.75 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/09. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt 1.75 KB
Part 03-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.en.vtt 1.75 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.en.vtt 1.75 KB
Part 03-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.es-ES.vtt 1.74 KB
Part 03-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.es.vtt 1.74 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.zh-CN.vtt 1.74 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/05. A Different Model-Mh0g-SMpMI4.en.vtt 1.74 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/02. 02 Skin Cancer V4-70jGZeiTNgk.pt-BR.vtt 1.74 KB
Part 02-Module 01-Lesson 03_RNN's/09. Regra da cadeia-YAhIBOnbt54.pt-BR.vtt 1.73 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Chain Rule-YAhIBOnbt54.pt-BR.vtt 1.73 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/09. LSTM 7 Use Gate-5Ifolm1jTdY.pt-BR.vtt 1.73 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/23. What Is The Neural Network Looking At-qN-rvoxPbBw.pt-BR.vtt 1.72 KB
Part 03-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.zh-CN.vtt 1.72 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/07. FCNs In The Wild-q9wTd53-hsw.en.vtt 1.72 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.en.vtt 1.71 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/05. The Data-2RLbbV7MQNA.pt-BR.vtt 1.71 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/img/legend.png 1.71 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/09. 08 Faster RCNN V1 RENDER V2-ySh_Q3KTTBY.zh-CN.vtt 1.7 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/03. 08. Computer Vision Pipeline-64hFcqhnNow.en.vtt 1.69 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt 1.69 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/02. 02 Skin Cancer V4-70jGZeiTNgk.zh-CN.vtt 1.68 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/01. Object Tracking V4 (1)-ciEo6PyMTeM.en.vtt 1.68 KB
Part 03-Module 01-Lesson 02_Robot Localization/38. Lesson Overview C++-lR3PH3bL-9U.zh-CN.vtt 1.67 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.zh-CN.vtt 1.67 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/25. Confusion Matrix-3rpN-YYlfes.en.vtt 1.66 KB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/05. 03 Attention Overview Encoding V2-IctAnMaVUKc.zh-CN.vtt 1.65 KB
Part 03-Module 01-Lesson 02_Robot Localization/36. Sense And Move 2 Solution Director'SCut-7gl2GF-laOQ.zh-CN.vtt 1.65 KB
Part 02-Module 01-Lesson 03_RNN's/09. Regra da cadeia-YAhIBOnbt54.en.vtt 1.65 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Chain Rule-YAhIBOnbt54.en.vtt 1.65 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/13. Color Thresholds-08ZlYZJaiUg.zh-CN.vtt 1.65 KB
Part 03-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.es-ES.vtt 1.64 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/06. AffdexMe Demo-dpFtXDqakvY.zh-CN.vtt 1.64 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/05. The Data-2RLbbV7MQNA.zh-CN.vtt 1.64 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.en.vtt 1.64 KB
Part 02-Module 01-Lesson 05_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.en.vtt 1.63 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/23. Nd113 C7 29 L Features-HshygbfQylA.zh-CN.vtt 1.62 KB
Part 03-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.ja.vtt 1.6 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.en.vtt 1.6 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/05. A Different Model-Mh0g-SMpMI4.zh-CN.vtt 1.6 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/04. Optical Flow-TOS8UJwCtTg.zh-CN.vtt 1.59 KB
Part 03-Module 01-Lesson 02_Robot Localization/03. Usando dados do sensor-vhl-SADfti8.en.vtt 1.59 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/03. Motion -A-QJf04LBb0.en.vtt 1.58 KB
Part 03-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.pt-PT.vtt 1.58 KB
Part 03-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.it.vtt 1.58 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/07. FCNs In The Wild-q9wTd53-hsw.zh-CN.vtt 1.58 KB
Part 03-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.pt.vtt 1.58 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/06. Skip Connections-JUYLA5PWzo0.en.vtt 1.57 KB
Part 03-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.ja.vtt 1.57 KB
Part 03-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.es-ES.vtt 1.56 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/11. Vanishing Gradient-W_JJm_5syFw.pt-BR.vtt 1.56 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.en.vtt 1.56 KB
Part 03-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.es.vtt 1.56 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/17. 15 Introducing Noise QUIZ RENDER V1-E_OI5DinFA0.en.vtt 1.55 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/01. Object Tracking V4 (1)-ciEo6PyMTeM.zh-CN.vtt 1.55 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/25. Confusion Matrix-3rpN-YYlfes.pt-BR.vtt 1.54 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.zh-CN.vtt 1.53 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.en.vtt 1.53 KB
Part 02-Module 01-Lesson 05_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.pt-BR.vtt 1.53 KB
Part 01-Module 01-Lesson 05_Feature Vectors/03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.en.vtt 1.52 KB
Part 03-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.en.vtt 1.52 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.en.vtt 1.52 KB
Part 03-Module 01-Lesson 02_Robot Localization/29. 24 Limit Distribution Quiz V3-NJvalJwjz18.en.vtt 1.52 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/03. 08. Computer Vision Pipeline-64hFcqhnNow.zh-CN.vtt 1.51 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/20. Working with Real Data-WvEcWtAz-OQ.en.vtt 1.51 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/03. Motion -A-QJf04LBb0.zh-CN.vtt 1.51 KB
Part 02-Module 01-Lesson 02_YOLO/10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.en.vtt 1.51 KB
Part 03-Module 01-Lesson 02_Robot Localization/02. Reduzindo a incerteza-zuFMhmKQ--o.pt-BR.vtt 1.5 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/03. Fully Convolutional Networks-_Lh2ozg5yTs.en.vtt 1.5 KB
Part 03-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.pt-PT.vtt 1.5 KB
Part 03-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.pt.vtt 1.5 KB
Part 02-Module 01-Lesson 05_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.zh-CN.vtt 1.5 KB
Part 03-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.ja.vtt 1.5 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.zh-CN.vtt 1.5 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/09. LSTM 7 Use Gate-5Ifolm1jTdY.zh-CN.vtt 1.5 KB
Part 02-Module 01-Lesson 07_Image Captioning/10. 08 Video Captioning V1-I_m9JyKTfbQ.en.vtt 1.49 KB
Part 03-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.it.vtt 1.49 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/19. State Vector-st26ov_TVwM.en.vtt 1.49 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/04. LSTM Architecture-ycwthhdx8ws.en.vtt 1.49 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/07. Quantifying State-9zMbwSqTZAc.en.vtt 1.48 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/22. Visualization-aGIGB4Ta3_A.zh-CN.vtt 1.48 KB
Part 03-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.en.vtt 1.48 KB
Part 03-Module 01-Lesson 02_Robot Localization/02. Reduzindo a incerteza-zuFMhmKQ--o.en.vtt 1.48 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/28. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.zh-CN.vtt 1.48 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.en.vtt 1.47 KB
Part 03-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.es-ES.vtt 1.47 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.en.vtt 1.47 KB
Part 03-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.es.vtt 1.47 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/04. LSTM Architecture-ycwthhdx8ws.pt-BR.vtt 1.46 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/11. Vanishing Gradient-W_JJm_5syFw.en.vtt 1.46 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.en.vtt 1.46 KB
Part 02-Module 01-Lesson 07_Image Captioning/06. 05 The Glue V5-u2ZdcUDnHm0.en.vtt 1.45 KB
Part 03-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.zh-CN.vtt 1.45 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.ru.vtt 1.44 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.zh-CN.vtt 1.44 KB
Part 02-Module 01-Lesson 07_Image Captioning/02. 02 Leveraging Neural Networks V3-thClOUTiNxY.en.vtt 1.43 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/23. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.en.vtt 1.43 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/02. Intro To State-zfilXYrW4Gk.en.vtt 1.43 KB
Part 03-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.zh-CN.vtt 1.42 KB
Part 02-Module 01-Lesson 03_RNN's/09. Regra da cadeia-YAhIBOnbt54.zh-CN.vtt 1.42 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Chain Rule-YAhIBOnbt54.zh-CN.vtt 1.42 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.en.vtt 1.41 KB
Part 03-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.pt-PT.vtt 1.41 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/25. Confusion Matrix-3rpN-YYlfes.zh-CN.vtt 1.41 KB
Part 03-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.pt.vtt 1.41 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.zh-CN.vtt 1.4 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.en.vtt 1.4 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.zh-CN.vtt 1.4 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.zh-CN.vtt 1.39 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/02. Why Neural Networks-zAkzOZntK6Y.en.vtt 1.38 KB
Part 03-Module 01-Lesson 02_Robot Localization/03. Usando dados do sensor-vhl-SADfti8.zh-CN.vtt 1.38 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/04. Medical Classification-RCOSP60dV7U.en.vtt 1.37 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.zh-CN.vtt 1.37 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.en.vtt 1.37 KB
Part 03-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.en.vtt 1.37 KB
Part 03-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.it.vtt 1.36 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/01. 01 Pattern Recognition V1-cX5EE1WEqhY.en.vtt 1.36 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.en.vtt 1.36 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.zh-CN.vtt 1.36 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/06. Skip Connections-JUYLA5PWzo0.zh-CN.vtt 1.35 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/19. State Vector-st26ov_TVwM.zh-CN.vtt 1.35 KB
[FTU Forum].url 1.34 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.pt-BR.vtt 1.34 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/04. LSTM Architecture-ycwthhdx8ws.zh-CN.vtt 1.34 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/20. Working with Real Data-WvEcWtAz-OQ.zh-CN.vtt 1.33 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/07. Forget Gate-iWxpfxLUPSU.pt-BR.vtt 1.33 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/07. Quantifying State-9zMbwSqTZAc.zh-CN.vtt 1.33 KB
Part 03-Module 01-Lesson 02_Robot Localization/17. 16 Test Sense Function V1-gytbuOI9-3g.en.vtt 1.32 KB
Part 02-Module 01-Lesson 07_Image Captioning/10. 08 Video Captioning V1-I_m9JyKTfbQ.zh-CN.vtt 1.32 KB
Part 02-Module 01-Lesson 07_Image Captioning/06. 05 The Glue V5-u2ZdcUDnHm0.zh-CN.vtt 1.31 KB
Part 01-Module 01-Lesson 05_Feature Vectors/03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.zh-CN.vtt 1.31 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/08. Bounding Boxes-uPv4d0Xl8hc.en.vtt 1.31 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/17. 15 Introducing Noise QUIZ RENDER V1-E_OI5DinFA0.zh-CN.vtt 1.3 KB
Part 09-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.zh-CN.vtt 1.3 KB
Part 03-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.zh-CN.vtt 1.3 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.zh-CN.vtt 1.29 KB
Part 03-Module 01-Lesson 05_Representing State and Motion/02. Intro To State-zfilXYrW4Gk.zh-CN.vtt 1.29 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/02. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt 1.27 KB
Part 02-Module 01-Lesson 02_YOLO/10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.zh-CN.vtt 1.27 KB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/23. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.zh-CN.vtt 1.26 KB
Part 07-Module 01-Lesson 01_Sentiment Analysis/01. Introducing Andrew Trask-ltO71Bm8b3M.pt-BR.vtt 1.26 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/18. Rate Gyros-TmnecSf80b0.en.vtt 1.26 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt 1.26 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/07. Forget Gate-iWxpfxLUPSU.en.vtt 1.26 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/03. Fully Convolutional Networks-_Lh2ozg5yTs.zh-CN.vtt 1.26 KB
Part 02-Module 01-Lesson 07_Image Captioning/02. 02 Leveraging Neural Networks V3-thClOUTiNxY.zh-CN.vtt 1.25 KB
Part 03-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.ja.vtt 1.25 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.zh-CN.vtt 1.25 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/11. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt 1.24 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.en.vtt 1.23 KB
Part 03-Module 01-Lesson 02_Robot Localization/02. Reduzindo a incerteza-zuFMhmKQ--o.zh-CN.vtt 1.23 KB
Part 01-Module 01-Lesson 02_Image Representation Classification/01. 01 Pattern Recognition V1-cX5EE1WEqhY.zh-CN.vtt 1.23 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.zh-CN.vtt 1.22 KB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.zh-CN.vtt 1.22 KB
Part 03-Module 01-Lesson 02_Robot Localization/29. 24 Limit Distribution Quiz V3-NJvalJwjz18.zh-CN.vtt 1.21 KB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.zh-CN.vtt 1.21 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/08. Bounding Boxes-uPv4d0Xl8hc.zh-CN.vtt 1.2 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/03. Survival Rate-QPlp3NeGuSk.en.vtt 1.19 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/02. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt 1.18 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/02. Localization V1 (1)-QkVyEMTUkAw.en.vtt 1.18 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/04. Medical Classification-RCOSP60dV7U.pt-BR.vtt 1.18 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/04. Medical Classification-RCOSP60dV7U.zh-CN.vtt 1.17 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.en.vtt 1.17 KB
Part 03-Module 01-Lesson 02_Robot Localization/17. 16 Test Sense Function V1-gytbuOI9-3g.zh-CN.vtt 1.16 KB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.zh-CN.vtt 1.16 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt 1.16 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/28. Conclusion-gMbDqd4ItiU.en.vtt 1.15 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.en.vtt 1.15 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/08. 08 Matrix Modification Quiz V1-e3zpWlM9IRg.en.vtt 1.15 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.en.vtt 1.14 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.en.vtt 1.14 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.en.vtt 1.13 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/07. Forget Gate-iWxpfxLUPSU.zh-CN.vtt 1.12 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.en.vtt 1.12 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/09. Training The Neural Network-HwiI-UXUx-M.en.vtt 1.11 KB
Part 03-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.pt-PT.vtt 1.1 KB
Part 03-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.pt.vtt 1.1 KB
Part 03-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.es-ES.vtt 1.1 KB
Part 03-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.es.vtt 1.1 KB
Part 02-Module 01-Lesson 07_Image Captioning/11. 09 On To The Project V2-MsxNRaYTNSk.en.vtt 1.09 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/18. Rate Gyros-TmnecSf80b0.zh-CN.vtt 1.09 KB
Part 03-Module 01-Lesson 02_Robot Localization/21. 18 Exact Motion V1-mNXm1wjTumY.en.vtt 1.08 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.pt-BR.vtt 1.08 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/03. Survival Rate-QPlp3NeGuSk.pt-BR.vtt 1.08 KB
Part 03-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.it.vtt 1.07 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/28. Conclusion-gMbDqd4ItiU.zh-CN.vtt 1.07 KB
Part 03-Module 01-Lesson 01_Introduction to Motion/02. Localization V1 (1)-QkVyEMTUkAw.zh-CN.vtt 1.07 KB
Part 03-Module 01-Lesson 02_Robot Localization/04. 概率分布入门 1-gqPjMDVFvNg.en.vtt 1.07 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/06. 06 Image Challenge V3-Efnoj1KNPHw.en.vtt 1.07 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.zh-CN.vtt 1.06 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.pt-BR.vtt 1.05 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/01. Intro-1sm1EbfilXI.en.vtt 1.04 KB
Part 03-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.ja.vtt 1.04 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.ja.vtt 1.04 KB
Part 03-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.es-ES.vtt 1.03 KB
Part 03-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.es.vtt 1.03 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/01. 矩阵介绍-Ugx3mldc0lE.en.vtt 1.03 KB
Part 03-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.en.vtt 1.03 KB
Part 03-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.zh-CN.vtt 1.02 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/01. 矩阵介绍-Ugx3mldc0lE.zh-CN.vtt 1.02 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.pt-BR.vtt 1.02 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.es-ES.vtt 1.02 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt 1.02 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.zh-CN.vtt 1.01 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt 1020 B
Part 03-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.en.vtt 1013 B
Part 03-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.pt-PT.vtt 1010 B
Part 03-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.pt.vtt 1007 B
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.en.vtt 1003 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/03. Survival Rate-QPlp3NeGuSk.zh-CN.vtt 996 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/09. Training The Neural Network-HwiI-UXUx-M.zh-CN.vtt 995 B
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/01. Intro-1sm1EbfilXI.zh-CN.vtt 985 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.en.vtt 983 B
Part 03-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.it.vtt 982 B
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/08. 08 Matrix Modification Quiz V1-e3zpWlM9IRg.zh-CN.vtt 982 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.en.vtt 979 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/09. Training The Neural Network-HwiI-UXUx-M.pt-BR.vtt 977 B
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.zh-CN.vtt 970 B
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/05. 05 Implementing Constraints Solution V1-uLmGavXEN64.en.vtt 968 B
Part 03-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.it.vtt 966 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.zh-CN.vtt 965 B
Part 03-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.ja.vtt 964 B
Part 03-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.es-ES.vtt 961 B
Part 03-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.pt-PT.vtt 961 B
Part 03-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.pt.vtt 958 B
Part 03-Module 01-Lesson 02_Robot Localization/21. 18 Exact Motion V1-mNXm1wjTumY.zh-CN.vtt 954 B
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.zh-CN.vtt 953 B
Part 03-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.ja.vtt 951 B
Part 03-Module 01-Lesson 05_Representing State and Motion/24. Working With Matrices-nruxu8pr6i8.en.vtt 951 B
Part 03-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.zh-CN.vtt 948 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve-sdUUf6RRmXI.en.vtt 943 B
Part 03-Module 01-Lesson 02_Robot Localization/04. 概率分布入门 1-gqPjMDVFvNg.zh-CN.vtt 942 B
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/05. Transposed Convolutions-K6mlLX8ZZDs.en.vtt 942 B
Part 03-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.en.vtt 940 B
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/06. 06 Adding Landmarks Quiz V1-_JUCLtoh1CE.en.vtt 937 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/06. 06 Image Challenge V3-Efnoj1KNPHw.pt-BR.vtt 937 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.ja.vtt 928 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/06. 06 Image Challenge V3-Efnoj1KNPHw.zh-CN.vtt 920 B
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/24. Trigonometry And Vehicle Motion-WY3T-9GHI_0.en.vtt 914 B
Part 02-Module 01-Lesson 07_Image Captioning/11. 09 On To The Project V2-MsxNRaYTNSk.zh-CN.vtt 913 B
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/09. Semantic Segmentation-_L5gJnZrw48.en.vtt 905 B
Part 03-Module 01-Lesson 05_Representing State and Motion/08. Lesson Outline-jh7wLGXrm3E.en.vtt 904 B
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/11. Scene Understanding-aMQREc-mP50.en.vtt 896 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.zh-CN.vtt 891 B
Part 03-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.zh-CN.vtt 874 B
Part 05-Module 01-Lesson 02_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.pt-BR.vtt 874 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/01. Introduction-ZCpXvVdIdnY.en.vtt 874 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.es-ES.vtt 869 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges-1z3o4niQuNg.en.vtt 867 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.zh-CN.vtt 859 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/01. Introduction-ZCpXvVdIdnY.pt-BR.vtt 857 B
Part 03-Module 01-Lesson 05_Representing State and Motion/24. Working With Matrices-nruxu8pr6i8.zh-CN.vtt 853 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.en.vtt 853 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivty And Specificity-GBZjyeMjKxc.en.vtt 850 B
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/05. Transposed Convolutions-K6mlLX8ZZDs.zh-CN.vtt 850 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.en.vtt 846 B
Part 02-Module 01-Lesson 02_YOLO/09. 07 Too Many Boxes V2-nYDWsFdFnQ8.en.vtt 844 B
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/11. Scene Understanding-aMQREc-mP50.zh-CN.vtt 844 B
Part 05-Module 01-Lesson 02_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.zh-CN.vtt 840 B
Part 03-Module 01-Lesson 05_Representing State and Motion/08. Lesson Outline-jh7wLGXrm3E.zh-CN.vtt 824 B
Part 05-Module 01-Lesson 02_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.en.vtt 824 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve-sdUUf6RRmXI.zh-CN.vtt 823 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/01. Introduction-ZCpXvVdIdnY.zh-CN.vtt 822 B
Part 02-Module 01-Lesson 02_YOLO/09. 07 Too Many Boxes V2-nYDWsFdFnQ8.zh-CN.vtt 821 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.es-ES.vtt 819 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.en.vtt 815 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges-1z3o4niQuNg.zh-CN.vtt 810 B
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/15. Outro-vyNI5hdMigs.en.vtt 805 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.en.vtt 791 B
Part 03-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.es-ES.vtt 789 B
Part 03-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.es.vtt 787 B
Part 03-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.en.vtt 786 B
Part 03-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.it.vtt 785 B
Part 03-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.zh-CN.vtt 779 B
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/24. Trigonometry And Vehicle Motion-WY3T-9GHI_0.zh-CN.vtt 772 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivty And Specificity-GBZjyeMjKxc.pt-BR.vtt 772 B
Part 09-Module 02-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.en.vtt 770 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.zh-CN.vtt 767 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivty And Specificity-GBZjyeMjKxc.zh-CN.vtt 766 B
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/06. 06 Adding Landmarks Quiz V1-_JUCLtoh1CE.zh-CN.vtt 764 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.en.vtt 762 B
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/09. Semantic Segmentation-_L5gJnZrw48.zh-CN.vtt 758 B
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/05. 05 Implementing Constraints Solution V1-uLmGavXEN64.zh-CN.vtt 754 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.pt-BR.vtt 754 B
Part 07-Module 01-Lesson 01_Sentiment Analysis/01. Introducing Andrew Trask-ltO71Bm8b3M.en.vtt 746 B
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/10. Moving Forward V4-E35QVmp1f2k.en.vtt 736 B
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.en.vtt 736 B
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/08. Remember Gate-0qlm86HaXuU.en.vtt 734 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.zh-CN.vtt 734 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges-1z3o4niQuNg.pt-BR.vtt 730 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.zh-CN.vtt 729 B
Part 09-Module 02-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.zh-CN.vtt 726 B
Part 03-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.it.vtt 724 B
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.en.vtt 723 B
Part 03-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.ja.vtt 722 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.zh-CN.vtt 711 B
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/15. Outro-vyNI5hdMigs.zh-CN.vtt 708 B
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/08. Remember Gate-0qlm86HaXuU.pt-BR.vtt 700 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.ja.vtt 697 B
Part 03-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.es-ES.vtt 695 B
Part 03-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.es.vtt 693 B
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/10. Moving Forward V4-E35QVmp1f2k.zh-CN.vtt 688 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.zh-CN.vtt 686 B
Part 03-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.pt-PT.vtt 685 B
Part 07-Module 01-Lesson 01_Sentiment Analysis/01. Introducing Andrew Trask-ltO71Bm8b3M.zh-CN.vtt 685 B
Part 03-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.pt.vtt 682 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.en.vtt 680 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.pt-BR.vtt 678 B
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.zh-CN.vtt 660 B
Part 03-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.en.vtt 659 B
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.en.vtt 647 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve-sdUUf6RRmXI.pt-BR.vtt 643 B
Part 03-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.pt-PT.vtt 641 B
Part 03-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.pt.vtt 639 B
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/08. Remember Gate-0qlm86HaXuU.zh-CN.vtt 632 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.en.vtt 632 B
Part 03-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.ja.vtt 623 B
Part 03-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.zh-CN.vtt 623 B
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.zh-CN.vtt 609 B
Part 09-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.en.vtt 593 B
Part 09-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.en.vtt 583 B
Part 03-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.es-ES.vtt 575 B
Part 03-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.es.vtt 573 B
Part 09-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.zh-CN.vtt 572 B
Part 03-Module 01-Lesson 03_Mini-project 2D Histogram Filter/01. Project Overview-uaWZNKGTtgM.en.vtt 549 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.pt-BR.vtt 538 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.zh-CN.vtt 533 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.en.vtt 526 B
Part 03-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.bn.vtt 518 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.zh-CN.vtt 517 B
Part 09-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.zh-CN.vtt 515 B
Part 03-Module 01-Lesson 03_Mini-project 2D Histogram Filter/01. Project Overview-uaWZNKGTtgM.zh-CN.vtt 511 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.en.vtt 510 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.en.vtt 508 B
Part 03-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.pt-PT.vtt 506 B
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.zh-CN.vtt 505 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.en.vtt 505 B
Part 03-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.en.vtt 503 B
Part 03-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.pt.vtt 503 B
Part 03-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.it.vtt 501 B
Part 03-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.ja.vtt 500 B
Part 03-Module 01-Lesson 02_Robot Localization/10. 11 Normalize Distribution V1-ZGvmFn_u56o.en.vtt 497 B
Part 03-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.zh-CN.vtt 487 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.zh-CN.vtt 487 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.pt-BR.vtt 482 B
Part 05-Module 01-Lesson 02_Training Neural Networks/10. Random Restart-idyBBCzXiqg.pt-BR.vtt 478 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.zh-CN.vtt 475 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.pt-BR.vtt 472 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.zh-CN.vtt 468 B
Part 05-Module 01-Lesson 02_Training Neural Networks/10. Random Restart-idyBBCzXiqg.en.vtt 466 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.zh-CN.vtt 456 B
Part 03-Module 01-Lesson 02_Robot Localization/10. 11 Normalize Distribution V1-ZGvmFn_u56o.zh-CN.vtt 424 B
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.pt-BR.vtt 420 B
Part 05-Module 01-Lesson 02_Training Neural Networks/10. Random Restart-idyBBCzXiqg.zh-CN.vtt 419 B
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.en.vtt 410 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.es-ES.vtt 408 B
Part 09-Module 01-Lesson 05_Python and C++ Speed/01. Introduction-JklGKdn3_go.zh-CN.vtt 402 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.en.vtt 397 B
Part 03-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.pt-PT.vtt 387 B
Part 03-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.pt.vtt 384 B
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.es-ES.vtt 378 B
Part 09-Module 01-Lesson 05_Python and C++ Speed/01. Introduction-JklGKdn3_go.en.vtt 375 B
Part 03-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.zh-CN.vtt 367 B
Part 03-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.ja.vtt 365 B
Part 03-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.es-ES.vtt 362 B
Part 03-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.it.vtt 361 B
Part 03-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.es.vtt 359 B
Part 03-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.ja.vtt 356 B
Part 03-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.it.vtt 352 B
Part 03-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.es-ES.vtt 351 B
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.pt-PT.vtt 351 B
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.zh-CN.vtt 350 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.zh-CN.vtt 349 B
Part 03-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.en.vtt 348 B
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.pt.vtt 348 B
Part 03-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.es-ES.vtt 348 B
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.it.vtt 345 B
Part 03-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.zh-CN.vtt 344 B
Part 03-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.pt-PT.vtt 341 B
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/03. QUIZ Another Prediction 01 RENDER V1-wdSkHh-6U4Y.en.vtt 341 B
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.ja.vtt 340 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.ja.vtt 340 B
Part 03-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.pt.vtt 338 B
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.en.vtt 337 B
Part 03-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.it.vtt 320 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.ja.vtt 319 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.es-ES.vtt 314 B
Part 03-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.en.vtt 313 B
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.es-ES.vtt 310 B
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.zh-CN.vtt 309 B
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.ja.vtt 304 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.en.vtt 297 B
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.it.vtt 295 B
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.en.vtt 290 B
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.pt-PT.vtt 287 B
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.pt.vtt 284 B
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.zh-CN.vtt 280 B
Part 03-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.en.vtt 263 B
Part 03-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.ja.vtt 262 B
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/03. QUIZ Another Prediction 01 RENDER V1-wdSkHh-6U4Y.zh-CN.vtt 262 B
Part 03-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.pt-PT.vtt 255 B
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.zh-CN.vtt 255 B
Part 03-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.pt.vtt 252 B
Part 03-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.zh-CN.vtt 250 B
Part 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.es-ES.vtt 218 B
Part 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.es-MX.vtt 216 B
Part 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.it.vtt 215 B
Part 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.ja.vtt 211 B
Part 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.pt-PT.vtt 209 B
Part 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.pt.vtt 206 B
Part 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.en.vtt 203 B
Part 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.zh-CN.vtt 175 B
[FreeCoursesOnline.Me].url 133 B
[FreeTutorials.Eu].url 129 B
Download Info
-
Tips
“[FreeCoursesOnline.Me] Udacity - Computer Vision Nanodegree v1.0.0” Its related downloads are collected from the DHT sharing network, the site will be 24 hours of real-time updates, to ensure that you get the latest resources.This site is not responsible for the authenticity of the resources, please pay attention to screening.If found bad resources, please send a report below the right, we will be the first time shielding.
-
DMCA Notice and Takedown Procedure
If this resource infringes your copyright, please email([email protected]) us or leave your message here ! we will block the download link as soon as possiable.