[FreeCoursesOnline.Me] UDACITY - Computer Vision Nanodegree v4.0.0

FreeCoursesOnline Me UDACITY - Computer Vision Nanodegree v4 0 0

File Size： 2.73 GB

Creat Time： 2024-05-21 05:09:22

Last Active： 2024-10-31 01:32:44

Active Degree： 178

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File List：

  1. Part 08-Module 01-Lesson 01_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.mp4 55.88 MB
  2. Part 08-Module 01-Lesson 01_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.mp4 51.42 MB
  3. Part 08-Module 01-Lesson 01_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.mp4 40.09 MB
  4. Part 05-Module 01-Lesson 01_Applying Deep Learning Models/02. Navegação de tráfico 3-az5ElmV4DhY.mp4 39.03 MB
  5. Part 03-Module 01-Lesson 03_RNN_s/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4 37.95 MB
  6. Part 03-Module 01-Lesson 03_RNN_s/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4 37.03 MB
  7. Part 03-Module 01-Lesson 03_RNN_s/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4 35.67 MB
  8. Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 35.41 MB
  9. Part 08-Module 01-Lesson 01_Sentiment Analysis/22. Analysis What_s Going on in the Weights-UHsT35pbpcE.mp4 34.47 MB
  10. Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 33.32 MB
  11. Part 08-Module 01-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.mp4 29.55 MB
  12. Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.05 MB
  13. Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 27.73 MB
  14. Part 03-Module 01-Lesson 03_RNN_s/06. 07 FeedForward B V3-kTYbTVh1d0k.mp4 27.29 MB
  15. Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/img.zip 27.19 MB
  16. Part 03-Module 01-Lesson 03_RNN_s/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4 26.41 MB
  17. Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 25.64 MB
  18. Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4 25.48 MB
  19. Part 08-Module 01-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.mp4 25.38 MB
  20. Part 03-Module 01-Lesson 03_RNN_s/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4 24.84 MB
  21. Part 08-Module 01-Lesson 01_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.mp4 24.33 MB
  22. Part 01-Module 01-Lesson 04_Image Representation _ Classification/30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.mp4 24.32 MB
  23. Part 01-Module 01-Lesson 04_Image Representation _ Classification/08. Images as Grids of Pixels-RVNiaZuv6Ss.mp4 23.12 MB
  24. Part 08-Module 01-Lesson 01_Sentiment Analysis/19. Further Noise Reduction-Kl3hWxizKVg.mp4 22.87 MB
  25. Part 03-Module 01-Lesson 03_RNN_s/16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp4 22.64 MB
  26. Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.mp4 22.31 MB
  27. Part 03-Module 01-Lesson 03_RNN_s/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp4 22.09 MB
  28. Part 10-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 21.99 MB
  29. Part 01-Module 01-Lesson 04_Image Representation _ Classification/26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.mp4 21.70 MB
  30. Part 03-Module 01-Lesson 03_RNN_s/13. 16 RNN B V4 Final-wsif3p5t7CI.mp4 21.62 MB
  31. Part 03-Module 01-Lesson 03_RNN_s/02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4 21.40 MB
  32. Part 08-Module 01-Lesson 01_Sentiment Analysis/16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4 21.17 MB
  33. Part 03-Module 01-Lesson 03_RNN_s/img.zip 21.13 MB
  34. Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.mp4 21.12 MB
  35. Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/05. Convolutional Layers (Part 2)-LX-yVob3c28.mp4 20.33 MB
  36. Part 03-Module 01-Lesson 03_RNN_s/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp4 20.15 MB
  37. Part 01-Module 01-Lesson 01_Welcome to Computer Vision/05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.mp4 19.26 MB
  38. Part 03-Module 01-Lesson 03_RNN_s/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4 18.54 MB
  39. Part 03-Module 01-Lesson 03_RNN_s/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp4 18.17 MB
  40. Part 08-Module 01-Lesson 01_Sentiment Analysis/05. Framing the Problem-IsTOnkAKaJw.mp4 18.08 MB
  41. Part 03-Module 01-Lesson 03_RNN_s/04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4 17.69 MB
  42. Part 03-Module 01-Lesson 03_RNN_s/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4 17.64 MB
  43. Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.mp4 16.32 MB
  44. Part 03-Module 01-Lesson 03_RNN_s/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp4 15.12 MB
  45. Part 01-Module 01-Lesson 04_Image Representation _ Classification/21. Labeled Data and Accuracy-FN96OM_JGyM.mp4 15.02 MB
  46. Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.mp4 14.97 MB
  47. Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.mp4 14.33 MB
  48. Part 01-Module 01-Lesson 04_Image Representation _ Classification/06. AffdexMe Demo-dpFtXDqakvY.mp4 14.30 MB
  49. Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.mp4 14.14 MB
  50. Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.mp4 13.94 MB
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