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CMU_11-785_Intro_Deep_Learning_Spring2019

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  • 文件大小:3GB
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  • 最近下载:2021-01-22 22:31:34
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文件列表

  1. F18 Lecture 10 - Recurrent Neural Networks (RNNs) (Part 1)-FgwjF6rCsz8.mp4 205MB
  2. F18 Lecture 12 - Loss functions and sequence prediction for RNNs-s4QBIBVsW18.mp4 205MB
  3. F18 Lecture 9 - Convolutional Neural Networks (Part 2)-H2B0TrpDW_M.mp4 198MB
  4. F18 Lecture 8 - Convolutional Neural Networks (Part 1)-rr1vJizA1qE.mp4 197MB
  5. F18 Lecture 11 - Recurrent Neural Networks (RNNs) (Part 2)-BZsMQhq74d0.mp4 193MB
  6. F18 Lecture 5 - Backpropagation (cont.)-1XgBMUMAQPU.mp4 187MB
  7. F18 Recitation 7- RNNs-Mr5dHOcgD5Q.mp4 182MB
  8. F18 Lecture 4 - Backpropagation-hm_Zg0PgUN8.mp4 176MB
  9. F18 Recitation 1 - Amazon Web Services-9_KReiIZwLE.mp4 176MB
  10. F18 Lecture 2 - The Neural Net as a Universal Approximator-eeq2aG9TKY8.mp4 170MB
  11. F18 Lecture 7 - Optimization Part 2-m5gRfFsSuS4.mp4 164MB
  12. F18 Lecture 3 - Neural Network Training-x9rO7U6wA54.mp4 162MB
  13. F18 Recitation 4 - Tensorboard and Understanding Data-LcaRZCY1WIA.mp4 160MB
  14. F18 Lecture 1 - Introduction to Deep Learning-aPY-KC6zeeI.mp4 142MB
  15. F18 Recitation 2 - Your First Deep Learning Code-mWPNS4WQ900.mp4 117MB
  16. F18 Lecture 6 - Optimization Part 1-qpKkBzBZcJ8.mp4 115MB
  17. F18 Recitation 9 - Attention Networks HW4 Primer-aJvw9aBFE70.mp4 107MB
  18. F18 Recitation 6 - HW2 Primer-7SEdt9Nw1xU.mp4 106MB
  19. F18 Logistics-QrtrF_w2LuY.mp4 60MB
  20. F18 Recitation 0 (1_2) - Python Primer-XlaIQ9kljJI.mp4 45MB
  21. F18 Recitation 8 - Connectionist Temporal Classification (CTC)-GxtMbmv169o.mp4 30MB
  22. F18 Recitation 0 (2_2) - Numpy Primer-HL4MTgbZvlg.mp4 25MB