Udacity - Computer Vision Nanodegree nd891 v1.0.0

1. Part 09-Module 02-Lesson 03_Project Optimize Histogram Filter/02. Nd113 Running The Project V1--X1pB-HTdnQ.mp4 82.33 MB
2. Part 07-Module 01-Lesson 01_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.mp4 55.88 MB
3. Part 07-Module 01-Lesson 01_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.mp4 51.42 MB
4. Part 07-Module 01-Lesson 01_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.mp4 40.09 MB
5. Part 04-Module 01-Lesson 01_Applying Deep Learning Models/02. Navegação de tráfico 3-az5ElmV4DhY.mp4 39.03 MB
6. Part 02-Module 01-Lesson 03_RNN's/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4 37.95 MB
7. Part 02-Module 01-Lesson 03_RNN's/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4 37.03 MB
8. Part 02-Module 01-Lesson 03_RNN's/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4 35.67 MB
9. Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 35.41 MB
10. Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.mp4 34.54 MB
11. Part 07-Module 01-Lesson 01_Sentiment Analysis/22. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4 34.47 MB
12. Part 07-Module 01-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.mp4 29.55 MB
13. Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.05 MB
14. Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 27.73 MB
15. Part 02-Module 01-Lesson 03_RNN's/06. 07 FeedForward B V3-kTYbTVh1d0k.mp4 27.29 MB
16. Part 09-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 27.13 MB
17. Part 02-Module 01-Lesson 03_RNN's/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4 26.41 MB
18. Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4 25.48 MB
19. Part 07-Module 01-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.mp4 25.38 MB
20. Part 02-Module 01-Lesson 03_RNN's/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4 24.84 MB
21. Part 01-Module 01-Lesson 01_Welcome to Computer Vision/05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.mp4 24.79 MB
22. Part 07-Module 01-Lesson 01_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.mp4 24.33 MB
23. Part 01-Module 01-Lesson 02_Image Representation & Classification/30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.mp4 24.32 MB
24. Part 01-Module 01-Lesson 02_Image Representation & Classification/08. Images as Grids of Pixels-RVNiaZuv6Ss.mp4 23.12 MB
25. Part 07-Module 01-Lesson 01_Sentiment Analysis/19. Further Noise Reduction-Kl3hWxizKVg.mp4 22.87 MB
26. Part 02-Module 01-Lesson 03_RNN's/16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp4 22.64 MB
27. Part 02-Module 01-Lesson 03_RNN's/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp4 22.09 MB
28. Part 01-Module 01-Lesson 02_Image Representation & Classification/26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.mp4 21.70 MB
29. Part 02-Module 01-Lesson 03_RNN's/13. 16 RNN B V4 Final-wsif3p5t7CI.mp4 21.62 MB
30. Part 02-Module 01-Lesson 03_RNN's/02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4 21.40 MB
31. Part 07-Module 01-Lesson 01_Sentiment Analysis/16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4 21.17 MB
32. Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/05. Convolutional Layers (Part 2)-LX-yVob3c28.mp4 20.33 MB
33. Part 02-Module 01-Lesson 03_RNN's/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp4 20.15 MB
34. Part 02-Module 01-Lesson 03_RNN's/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4 18.54 MB
35. Part 02-Module 01-Lesson 03_RNN's/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp4 18.17 MB
36. Part 07-Module 01-Lesson 01_Sentiment Analysis/05. Framing the Problem-IsTOnkAKaJw.mp4 18.08 MB
37. Part 02-Module 01-Lesson 03_RNN's/04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4 17.69 MB
38. Part 02-Module 01-Lesson 03_RNN's/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4 17.64 MB
39. Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.mp4 16.32 MB
40. Part 02-Module 01-Lesson 03_RNN's/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp4 15.12 MB
41. Part 01-Module 01-Lesson 02_Image Representation & Classification/21. Labeled Data and Accuracy-FN96OM_JGyM.mp4 15.02 MB
42. Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.mp4 14.97 MB
43. Part 01-Module 01-Lesson 02_Image Representation & Classification/06. AffdexMe Demo-dpFtXDqakvY.mp4 14.30 MB
44. Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.mp4 14.14 MB
45. Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.mp4 13.94 MB
46. Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.mp4 13.60 MB
47. Part 09-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.mp4 13.48 MB
48. Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/01. 惯性导航-vWgG0d2HOVE.mp4 13.23 MB
49. Part 03-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.mp4 13.22 MB
50. Part 02-Module 01-Lesson 03_RNN's/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.mp4 13.07 MB