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CS231n - Convolutional Neural Networks for Visual Recognition (Spring 2017)

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  • 文件大小:7GB
  • 下载次数:44
  • 最近下载:2021-01-06 12:36:04
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文件列表

  1. 视频/Lecture 15 - Efficient Methods and Hardware for Deep Learning.mp4 614MB
  2. 视频/Lecture 12 - Visualizing and Understanding.mp4 572MB
  3. 视频/Lecture 9 - CNN Architectures.mp4 516MB
  4. 视频/Lecture 6 - Training Neural Networks I.mp4 508MB
  5. 视频/Lecture 11 - Detection and Segmentation.mp4 508MB
  6. 视频/Lecture 3 - Loss Functions and Optimization.mp4 502MB
  7. 视频/Lecture 8 - Deep Learning Software.mp4 488MB
  8. 视频/Lecture 16 - Adversarial Examples and Adversarial Training.mp4 473MB
  9. 视频/Lecture 13 - Generative Models.mp4 466MB
  10. 视频/Lecture 7 - Training Neural Networks II.mp4 459MB
  11. 视频/Lecture 5 - Convolutional Neural Networks.mp4 455MB
  12. 视频/Lecture 10 - Recurrent Neural Networks.mp4 434MB
  13. 视频/Lecture 4 - Introduction to Neural Networks.mp4 417MB
  14. 视频/Lecture 2 - Image Classification.mp4 395MB
  15. 视频/Lecture 14 - Deep Reinforcement Learning.mp4 378MB
  16. 视频/Lecture 1 - Introduction to Convolutional Neural Networks for Visual Recognition.mp4 203MB
  17. 课件/cs231n_2017_lecture1.pdf 16MB
  18. 课件/cs231n_2017_lecture12.pdf 16MB
  19. 课件/cs231n_2017_lecture5.pdf 10MB
  20. 课件/cs231n_2017_lecture15.pdf 8MB
  21. 课件/cs231n_2017_lecture11.pdf 7MB
  22. 课件/cs231n_2017_lecture10.pdf 6MB
  23. 课件/cs231n_2017_lecture2.pdf 5MB
  24. 课件/cs231n_2017_lecture16.pdf 5MB
  25. 课件/cs231n_2017_lecture3.pdf 5MB
  26. 课件/cs231n_2017_lecture8.pdf 5MB
  27. 课件/cs231n_2017_lecture13.pdf 4MB
  28. 课件/cs231n_2017_lecture6.pdf 3MB
  29. 课件/cs231n_2017_lecture7.pdf 3MB
  30. 课件/cs231n_2017_lecture4.pdf 3MB
  31. 课件/cs231n_2017_lecture9.pdf 2MB
  32. 课件/cs231n_2017_lecture14.pdf 2MB
  33. 视频/Lecture 10 - Recurrent Neural Networks.srt 148KB
  34. 视频/Lecture 8 - Deep Learning Software.srt 146KB
  35. 视频/Lecture 12 - Visualizing and Understanding.srt 145KB
  36. 视频/Lecture 7 - Training Neural Networks II.srt 143KB
  37. 视频/Lecture 16 - Adversarial Examples and Adversarial Training.srt 140KB
  38. 视频/Lecture 3 - Loss Functions and Optimization.srt 133KB
  39. 视频/Lecture 11 - Detection and Segmentation.srt 132KB
  40. 视频/Lecture 6 - Training Neural Networks I.srt 127KB
  41. 视频/Lecture 4 - Introduction to Neural Networks.srt 120KB
  42. 视频/Lecture 13 - Generative Models.srt 116KB
  43. 视频/Lecture 9 - CNN Architectures.srt 115KB
  44. 视频/Lecture 2 - Image Classification.srt 112KB
  45. 视频/Lecture 5 - Convolutional Neural Networks.srt 106KB
  46. 视频/Lecture 14 - Deep Reinforcement Learning.srt 104KB
  47. 视频/Lecture 15 - Efficient Methods and Hardware for Deep Learning.srt 95KB
  48. 视频/Lecture 1 - Introduction to Convolutional Neural Networks for Visual Recognition.srt 79KB