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  1. Linear Decoders ‎(32 revisions)
  2. 深度网络概览 ‎(32 revisions)
  3. UFLDL Recommended Readings ‎(31 revisions)
  4. 逻辑回归的向量化实现样例 ‎(30 revisions)
  5. 用反向传导思想求导 ‎(29 revisions)
  6. Fine-tuning Stacked AEs ‎(28 revisions)
  7. 独立成分分析 ‎(27 revisions)
  8. Data Preprocessing ‎(26 revisions)
  9. Exercise: Implement deep networks for digit classification ‎(25 revisions)
  10. 从自我学习到深层网络 ‎(25 revisions)
  11. 微调多层自编码算法 ‎(25 revisions)
  12. Neural Networks ‎(23 revisions)
  13. 白化 ‎(23 revisions)
  14. 自我学习 ‎(23 revisions)
  15. Implementing PCA/Whitening ‎(22 revisions)
  16. 可视化自编码器训练结果 ‎(22 revisions)
  17. Deep Networks: Overview ‎(21 revisions)
  18. Self-Taught Learning ‎(21 revisions)
  19. 栈式自编码算法 ‎(21 revisions)
  20. 稀疏自编码重述 ‎(20 revisions)
  21. Exercise:Learning color features with Sparse Autoencoders ‎(19 revisions)
  22. Sparse Coding: Autoencoder Interpretation ‎(19 revisions)
  23. 梯度检验与高级优化 ‎(19 revisions)
  24. Whitening ‎(18 revisions)
  25. Self-Taught Learning to Deep Networks ‎(17 revisions)
  26. 卷积特征提取 ‎(17 revisions)
  27. 矢量化编程 ‎(17 revisions)
  28. Neural Network Vectorization ‎(16 revisions)
  29. Exercise:Sparse Autoencoder ‎(15 revisions)
  30. Backpropagation Algorithm ‎(14 revisions)
  31. 实现主成分分析和白化 ‎(14 revisions)
  32. Exercise:PCA in 2D ‎(13 revisions)
  33. Stacked Autoencoders ‎(13 revisions)
  34. Pooling ‎(11 revisions)
  35. Using the MNIST Dataset ‎(11 revisions)
  36. 稀疏自编码器符号一览表 ‎(11 revisions)
  37. 线性解码器 ‎(11 revisions)
  38. Exercise:Independent Component Analysis ‎(10 revisions)
  39. Independent Component Analysis ‎(10 revisions)
  40. Autoencoders and Sparsity ‎(9 revisions)
  41. Deriving gradients using the backpropagation idea ‎(9 revisions)
  42. Exercise: PCA in 2D ‎(9 revisions)
  43. Logistic Regression Vectorization Example ‎(9 revisions)
  44. Sparse Coding ‎(9 revisions)
  45. Visualizing a Trained Autoencoder ‎(9 revisions)
  46. Vectorization ‎(8 revisions)
  47. Exercise:Sparse Coding ‎(7 revisions)
  48. Gradient checking and advanced optimization ‎(7 revisions)
  49. MATLAB Modules ‎(5 revisions)
  50. SOFTMAX回归 ‎(5 revisions)
  51. UFLDL教程 ‎(5 revisions)
  52. Sandbox ‎(4 revisions)
  53. Sparse Autoencoder Notation Summary ‎(3 revisions)
  54. Visualization with PCA/Whitening ‎(3 revisions)
  55. Fminlbfgs Details ‎(2 revisions)
  56. Useful Links ‎(2 revisions)

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