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Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.mp4 35.4 MBPart 07-Module 01-Lesson 01_Sentiment Analysis/22. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4 35.3 MBPart 07-Module 01-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.mp4 30.3 MBPart 05-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.7 MBPart 05-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 28.4 MBPart 02-Module 01-Lesson 03_RNN's/06. 07 FeedForward B V3-kTYbTVh1d0k.mp4 27.9 MBPart 09-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 27.8 MBPart 02-Module 01-Lesson 03_RNN's/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4 27.0 MBPart 05-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4 26.1 MBPart 07-Module 01-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.mp4 26.0 MBPart 02-Module 01-Lesson 03_RNN's/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4 25.4 MBPart 01-Module 01-Lesson 01_Welcome to Computer Vision/05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.mp4 25.4 MBPart 07-Module 01-Lesson 01_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.mp4 24.9 MBPart 01-Module 01-Lesson 02_Image Representation & Classification/30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.mp4 24.9 MBPart 01-Module 01-Lesson 02_Image Representation & Classification/08. Images as Grids of Pixels-RVNiaZuv6Ss.mp4 23.7 MBPart 07-Module 01-Lesson 01_Sentiment Analysis/19. Further Noise Reduction-Kl3hWxizKVg.mp4 23.4 MBPart 02-Module 01-Lesson 03_RNN's/16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp4 23.2 MBPart 02-Module 01-Lesson 03_RNN's/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp4 22.6 MBPart 01-Module 01-Lesson 02_Image Representation & Classification/26. 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Framing the Problem-IsTOnkAKaJw.mp4 18.5 MBPart 02-Module 01-Lesson 03_RNN's/04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4 18.1 MBPart 02-Module 01-Lesson 03_RNN's/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4 18.1 MBPart 05-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.mp4 16.7 MBPart 02-Module 01-Lesson 03_RNN's/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp4 15.5 MBPart 01-Module 01-Lesson 02_Image Representation & Classification/21. Labeled Data and Accuracy-FN96OM_JGyM.mp4 15.4 MBPart 05-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.mp4 15.3 MBPart 01-Module 01-Lesson 02_Image Representation & Classification/06. AffdexMe Demo-dpFtXDqakvY.mp4 14.6 MBPart 05-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.mp4 14.5 MBPart 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.mp4 14.3 MBPart 03-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.mp4 13.9 MBPart 09-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.mp4 13.8 MBPart 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/01. 惯性导航-vWgG0d2HOVE.mp4 13.5 MBPart 03-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.mp4 13.5 MBPart 02-Module 01-Lesson 03_RNN's/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.mp4 13.4 MBPart 09-Module 02-Lesson 02_C++ Optimization Practice/16. 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Emotional Intelligence-D_LzJsJH5qk.mp4 11.4 MBPart 03-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.mp4 11.2 MBPart 09-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.mp4 11.2 MBPart 02-Module 01-Lesson 03_RNN's/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.mp4 11.0 MBPart 09-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.mp4 11.0 MBPart 02-Module 01-Lesson 03_RNN's/12. 14 RNN A V4 Final-ofbnDxGSUcg.mp4 10.9 MBPart 07-Module 01-Lesson 01_Sentiment Analysis/11. Building a Neural Network-aM2k7RTjjJI.mp4 10.7 MBPart 01-Module 01-Lesson 02_Image Representation & Classification/23. Nd113 C7 29 L Features-HshygbfQylA.mp4 10.5 MBPart 01-Module 01-Lesson 02_Image Representation & Classification/17. Color Spaces and Transforms-B350aJVSsFc.mp4 10.4 MBPart 02-Module 01-Lesson 07_Image Captioning/07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.mp4 10.4 MBPart 01-Module 01-Lesson 05_Feature Vectors/11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.mp4 10.2 MBPart 03-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.mp4 10.2 MBPart 02-Module 01-Lesson 05_Hyperparameters/03. Learning Rate-HLMjeDez7ps.mp4 10.1 MBPart 01-Module 01-Lesson 02_Image Representation & Classification/10. Color Images--XbXiiGQ9gw.mp4 10.1 MBPart 01-Module 01-Lesson 04_Types of Features & Image Segmentation/02. Corner Detectors-jemzDq07MEI.mp4 10.0 MBPart 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.mp4 10.0 MBPart 02-Module 01-Lesson 02_YOLO/03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.mp4 9.9 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/img/self-driving-uber-prototype-in-san-francisco.jpg 9.7 MBPart 07-Module 01-Lesson 01_Sentiment Analysis/10. Mini Project 2 Solution-45ihpPaeO8E.mp4 9.7 MBPart 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/embedding.gif 9.2 MBPart 03-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.mp4 9.1 MBPart 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/15. Approximating The Integral-9C05AHzI_I8.mp4 9.0 MBPart 02-Module 01-Lesson 01_Advanced CNN Architectures/04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.mp4 9.0 MBPart 02-Module 01-Lesson 01_Advanced CNN Architectures/01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.mp4 8.8 MBPart 01-Module 01-Lesson 05_Feature Vectors/10. 07 Feature Matching V2-RH05Wnl1-2A.mp4 8.8 MBPart 03-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.mp4 8.7 MBPart 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/05. High-pass Filters-OpcFn_H2V-Q.mp4 8.6 MBPart 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion-WhpE_8sTt-0.mp4 8.6 MBPart 02-Module 01-Lesson 01_Advanced CNN Architectures/03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.mp4 8.5 MBPart 09-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.mp4 8.5 MBPart 02-Module 01-Lesson 06_Optional Attention Mechanisms/12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.mp4 8.4 MBPart 01-Module 01-Lesson 02_Image Representation & Classification/04. 09. Training a Model-m4GVfwVkj74.mp4 8.4 MBPart 09-Module 01-Lesson 03_Practical C++/01. 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Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.mp4 7.8 MBPart 09-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.mp4 7.8 MBPart 03-Module 01-Lesson 02_Robot Localization/38. Lesson Overview C++-lR3PH3bL-9U.mp4 7.8 MBPart 03-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.mp4 7.8 MBPart 02-Module 01-Lesson 03_RNN's/24. RNN Summary-nXP0oGGRrO8.mp4 7.6 MBPart 01-Module 01-Lesson 05_Feature Vectors/05. 03 Fast V3-DCHAc6fjcVM.mp4 7.6 MBPart 01-Module 01-Lesson 05_Feature Vectors/03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.mp4 7.3 MBPart 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/15. Canny Edge Detection-Nm1H2xMMS3I.mp4 7.3 MBPart 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/04. 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Creating a Filter-VEsdTRBH3D8.mp4 6.9 MBPart 02-Module 01-Lesson 06_Optional Attention Mechanisms/15. 10 Computer Vision Applications V3-bhWwc4BYTYc.mp4 6.9 MBPart 02-Module 01-Lesson 02_YOLO/12. 09 NonMaximal Suppression V1-TE6M29Jo9hk.mp4 6.9 MBPart 02-Module 01-Lesson 02_YOLO/07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.mp4 6.9 MBPart 01-Module 01-Lesson 02_Image Representation & Classification/28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.mp4 6.9 MBPart 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Backpropagation V2-1SmY3TZTyUk.mp4 6.8 MBPart 02-Module 01-Lesson 02_YOLO/14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.mp4 6.8 MBPart 05-Module 01-Lesson 02_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.mp4 6.7 MBPart 03-Module 01-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.mp4 6.6 MBPart 01-Module 01-Lesson 04_Types of Features & Image Segmentation/10. K-means Implementation-poKlg-aB4rU.mp4 6.6 MBPart 03-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.mp4 6.5 MBPart 03-Module 01-Lesson 01_Introduction to Motion/01. Object Tracking V4 (1)-ciEo6PyMTeM.mp4 6.4 MBPart 02-Module 01-Lesson 06_Optional Attention Mechanisms/17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.mp4 6.4 MBPart 09-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.mp4 6.4 MBPart 02-Module 01-Lesson 02_YOLO/02. 02 YOLO Output V2-MyOuuwk0qC4.mp4 6.4 MBPart 03-Module 01-Lesson 05_Representing State and Motion/14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.mp4 6.4 MBPart 01-Module 01-Lesson 04_Types of Features & Image Segmentation/09. K-means Clustering-Cf_LSDCEBzk.mp4 6.3 MBPart 09-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.mp4 6.3 MBPart 02-Module 01-Lesson 07_Image Captioning/06. 05 The Glue V5-u2ZdcUDnHm0.mp4 6.3 MBPart 02-Module 01-Lesson 02_YOLO/01. 01 Introduction V3-uyefSrHZesY.mp4 6.3 MBPart 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/25. Solving Trig Problems Part1-qI4i845d7Qg.mp4 6.3 MBPart 02-Module 01-Lesson 07_Image Captioning/01. 01 L Introduction V3-dobNslC2y-o.mp4 6.2 MBPart 09-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp4 6.1 MBPart 02-Module 01-Lesson 06_Optional Attention Mechanisms/16. 11 Other Attention Methods V2-VmsR9FVpQiM.mp4 6.1 MBPart 02-Module 01-Lesson 01_Advanced CNN Architectures/07. 06 RCNN V1 RENDER V2-EchapZJMTYU.mp4 6.1 MBPart 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/09. Pooling Layers-OkkIZNs7Cyc.mp4 6.1 MBPart 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/28. Conclusion-gMbDqd4ItiU.mp4 6.0 MBPart 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 6.0 MBPart 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 6.0 MBPart 02-Module 01-Lesson 07_Image Captioning/03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.mp4 5.9 MBPart 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.mp4 5.8 MBPart 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/12. Validating The Training-Oxm9ofvov3I.mp4 5.8 MBPart 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/11. 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Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.zh-CN.vtt 250 BytesPart 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.es-ES.vtt 218 BytesPart 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.es-MX.vtt 216 BytesPart 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.it.vtt 215 BytesPart 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.ja.vtt 211 BytesPart 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.pt-PT.vtt 209 BytesPart 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.pt.vtt 206 BytesPart 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.en.vtt 203 BytesPart 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.zh-CN.vtt 175 Bytes Udacity - Machine Learning Engineer Nanodegree 13.8 GB Udacity Android NanoDegree 14.2 GB Udacity - Machine Learning Engineer Nanodegree 13.8 GB [CourseClub.NET] Udacity - Web Developer Nanodegree 5.7 GB Udacity - Machine Learning Engineer Nanodegree 13.9 GB
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