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Deep Learning. The Big Picture (Matthew Renze, 2018)

  • 收录时间:2022-05-05 16:05:57
  • 文件大小:278MB
  • 下载次数:1
  • 最近下载:2022-05-05 16:05:57
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文件列表

  1. exercise.7z 54MB
  2. 5. Applications/6. Video.mp4 25MB
  3. 5. Applications/4. Images.mp4 18MB
  4. 6. Impact/4. Future.mp4 16MB
  5. 6. Impact/3. Trends.mp4 14MB
  6. 5. Applications/7. Future.mp4 13MB
  7. 3. Deep Learning/6. Deep Neural Networks.mp4 12MB
  8. 4. Techniques/5. Generative Adversarial Networks.mp4 11MB
  9. 7. Next Steps/4. Frameworks.mp4 9MB
  10. 7. Next Steps/2. Services.mp4 8MB
  11. 3. Deep Learning/4. Artificial Neurons.mp4 7MB
  12. 7. Next Steps/3. Platforms.mp4 7MB
  13. 4. Techniques/2. Fully Connected Neural Networks.mp4 6MB
  14. 3. Deep Learning/5. Neural Networks.mp4 6MB
  15. 4. Techniques/3. Convolutional Neural Networks.mp4 6MB
  16. 5. Applications/2. Tables.mp4 6MB
  17. 4. Techniques/4. Recurrent Neural Networks.mp4 6MB
  18. 2. Introduction/1. Introduction.mp4 6MB
  19. 6. Impact/2. History.mp4 5MB
  20. 5. Applications/3. Text.mp4 5MB
  21. 3. Deep Learning/2. Artificial Intelligence.mp4 5MB
  22. 4. Techniques/6. Deep Reinforcement Learning.mp4 4MB
  23. 5. Applications/5. Audio.mp4 4MB
  24. 1. Course Overview/1. Course Overview.mp4 4MB
  25. 2. Introduction/2. Overview.mp4 3MB
  26. 3. Deep Learning/3. Machine Learning.mp4 3MB
  27. 7. Next Steps/7. Course Summary.mp4 3MB
  28. 7. Next Steps/6. Where to Go Next.mp4 3MB
  29. 7. Next Steps/5. Recommendations.mp4 3MB
  30. 4. Techniques/1. Introduction.mp4 1MB
  31. 7. Next Steps/1. Introduction.mp4 1MB
  32. 3. Deep Learning/1. Introduction.mp4 1MB
  33. 5. Applications/8. Summary.mp4 957KB
  34. 4. Techniques/7. Summary.mp4 921KB
  35. 3. Deep Learning/7. Summary.mp4 795KB
  36. 5. Applications/1. Introduction.mp4 741KB
  37. 6. Impact/1. Introduction.mp4 705KB
  38. 6. Impact/5. Summary.mp4 606KB
  39. 6. Impact/4. Future.vtt 9KB
  40. 6. Impact/3. Trends.vtt 8KB
  41. 7. Next Steps/4. Frameworks.vtt 7KB
  42. 4. Techniques/3. Convolutional Neural Networks.vtt 7KB
  43. 4. Techniques/4. Recurrent Neural Networks.vtt 6KB
  44. 7. Next Steps/3. Platforms.vtt 6KB
  45. 2. Introduction/2. Overview.vtt 6KB
  46. 5. Applications/4. Images.vtt 6KB
  47. 3. Deep Learning/4. Artificial Neurons.vtt 6KB
  48. 7. Next Steps/2. Services.vtt 5KB
  49. 5. Applications/2. Tables.vtt 5KB
  50. 3. Deep Learning/6. Deep Neural Networks.vtt 5KB
  51. 3. Deep Learning/5. Neural Networks.vtt 5KB
  52. 4. Techniques/6. Deep Reinforcement Learning.vtt 5KB
  53. 4. Techniques/2. Fully Connected Neural Networks.vtt 4KB
  54. 3. Deep Learning/2. Artificial Intelligence.vtt 4KB
  55. 5. Applications/6. Video.vtt 4KB
  56. 5. Applications/5. Audio.vtt 4KB
  57. 5. Applications/3. Text.vtt 3KB
  58. 7. Next Steps/5. Recommendations.vtt 3KB
  59. 4. Techniques/5. Generative Adversarial Networks.vtt 3KB
  60. 5. Applications/7. Future.vtt 3KB
  61. 7. Next Steps/6. Where to Go Next.vtt 3KB
  62. 3. Deep Learning/3. Machine Learning.vtt 3KB
  63. 2. Introduction/1. Introduction.vtt 2KB
  64. 6. Impact/2. History.vtt 2KB
  65. 1. Course Overview/1. Course Overview.vtt 2KB
  66. 7. Next Steps/7. Course Summary.vtt 2KB
  67. 4. Techniques/1. Introduction.vtt 2KB
  68. 7. Next Steps/1. Introduction.vtt 2KB
  69. 5. Applications/8. Summary.vtt 1KB
  70. 3. Deep Learning/1. Introduction.vtt 1KB
  71. 4. Techniques/7. Summary.vtt 1KB
  72. playlist.m3u 1KB
  73. 3. Deep Learning/7. Summary.vtt 1KB
  74. ~i.txt 1KB
  75. 6. Impact/5. Summary.vtt 1KB
  76. 6. Impact/1. Introduction.vtt 1009B
  77. 5. Applications/1. Introduction.vtt 883B