589689.xyz

[UdemyCourseDownloader] Grokking Deep Learning in Motion

  • 收录时间:2020-01-16 01:06:51
  • 文件大小:2GB
  • 下载次数:104
  • 最近下载:2021-01-19 02:15:02
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 34 Regularization - Early Stopping and Dropout.mp4 100MB
  2. 37 Softmax and implementation in code.mp4 88MB
  3. 25 Up and down pressure.mp4 80MB
  4. 36 Standard Activation Functions.mp4 77MB
  5. 17 How to use a derivative to learn.mp4 77MB
  6. 01 Introduction.mp4 73MB
  7. 05 Parametric vs. non-parametric learning.mp4 67MB
  8. 08 Multiple inputs.mp4 64MB
  9. 32 3-layer network on MNIST.mp4 61MB
  10. 35 Activation Function Constraints.mp4 59MB
  11. 22 Visualizing weight values.mp4 58MB
  12. 23 The streetlight problem.mp4 57MB
  13. 31 Seeing the network predict.mp4 51MB
  14. 15 Learning with gradient decent.mp4 51MB
  15. 38 Where to go from here.mp4 48MB
  16. 26 Correlation and backpropagation.mp4 47MB
  17. 24 Building our neural network.mp4 47MB
  18. 30 Simplified visualization.mp4 47MB
  19. 27 Linear vs. non-linear.mp4 46MB
  20. 28 Our first 'deep' neural network.mp4 46MB
  21. 06 Making a prediction.mp4 43MB
  22. 13 Hot and cold learning.mp4 43MB
  23. 14 Gradient descent.mp4 43MB
  24. 19 Gradient descent learning with multiple inputs.mp4 42MB
  25. 16 The secret to learning.mp4 41MB
  26. 09 Multiple outputs and stacking predictions.mp4 41MB
  27. 29 Simplifying.mp4 40MB
  28. 11 Compare and learn.mp4 40MB
  29. 33 Overfitting in Neural Networks.mp4 38MB
  30. 03 What is Deep Learning and Machine Learning.mp4 37MB
  31. 18 Alpha.mp4 37MB
  32. 10 Primer on NumPy.mp4 36MB
  33. 04 Supervised vs. unsupervised learning.mp4 35MB
  34. 02 What you need to get started.mp4 35MB
  35. 12 Why measure error.mp4 27MB
  36. 20 Several steps of learning.mp4 26MB
  37. 21 Gradient descent with multiple outputs.mp4 23MB
  38. 07 What does a Neural Network do.mp4 23MB
  39. udemycoursedownloader.com.url 132B
  40. Udemy Course downloader.txt 94B