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  1. (hist) ‎PCA ‎[19,007 bytes]
  2. (hist) ‎Softmax Regression ‎[18,379 bytes]
  3. (hist) ‎主成分分析 ‎[17,683 bytes]
  4. (hist) ‎Softmax回归 ‎[15,195 bytes]
  5. (hist) ‎反向传导算法 ‎[14,585 bytes]
  6. (hist) ‎Sparse Coding: Autoencoder Interpretation ‎[13,703 bytes]
  7. (hist) ‎稀疏编码自编码表达 ‎[13,439 bytes]
  8. (hist) ‎Deriving gradients using the backpropagation idea ‎[12,489 bytes]
  9. (hist) ‎用反向传导思想求导 ‎[12,315 bytes]
  10. (hist) ‎Reflist ‎[11,809 bytes]
  11. (hist) ‎稀疏编码 ‎[11,634 bytes]
  12. (hist) ‎Sparse Coding ‎[10,965 bytes]
  13. (hist) ‎Backpropagation Algorithm ‎[10,962 bytes]
  14. (hist) ‎自编码算法与稀疏性 ‎[10,609 bytes]
  15. (hist) ‎神经网络向量化 ‎[10,454 bytes]
  16. (hist) ‎Neural Network Vectorization ‎[10,349 bytes]
  17. (hist) ‎Exercise:Convolution and Pooling ‎[10,160 bytes]
  18. (hist) ‎数据预处理 ‎[10,143 bytes]
  19. (hist) ‎Deep Networks: Overview ‎[10,033 bytes]
  20. (hist) ‎Exercise:Sparse Autoencoder ‎[9,802 bytes]
  21. (hist) ‎Autoencoders and Sparsity ‎[9,596 bytes]
  22. (hist) ‎Data Preprocessing ‎[9,577 bytes]
  23. (hist) ‎深度网络概览 ‎[9,451 bytes]
  24. (hist) ‎Exercise:Softmax Regression ‎[9,147 bytes]
  25. (hist) ‎Self-Taught Learning ‎[9,002 bytes]
  26. (hist) ‎神经网络 ‎[8,932 bytes]
  27. (hist) ‎UFLDL Recommended Readings ‎[8,559 bytes]
  28. (hist) ‎自我学习 ‎[8,279 bytes]
  29. (hist) ‎Neural Networks ‎[8,133 bytes]
  30. (hist) ‎梯度检验与高级优化 ‎[7,748 bytes]
  31. (hist) ‎Gradient checking and advanced optimization ‎[7,681 bytes]
  32. (hist) ‎Exercise:PCA and Whitening ‎[7,243 bytes]
  33. (hist) ‎Whitening ‎[6,509 bytes]
  34. (hist) ‎栈式自编码算法 ‎[6,457 bytes]
  35. (hist) ‎白化 ‎[6,350 bytes]
  36. (hist) ‎Stacked Autoencoders ‎[6,007 bytes]
  37. (hist) ‎Self-Taught Learning to Deep Networks ‎[5,486 bytes]
  38. (hist) ‎Exercise: Implement deep networks for digit classification ‎[5,274 bytes]
  39. (hist) ‎Feature extraction using convolution ‎[5,057 bytes]
  40. (hist) ‎从自我学习到深层网络 ‎[5,011 bytes]
  41. (hist) ‎卷积特征提取 ‎[4,929 bytes]
  42. (hist) ‎独立成分分析 ‎[4,791 bytes]
  43. (hist) ‎Logistic Regression Vectorization Example ‎[4,621 bytes]
  44. (hist) ‎Independent Component Analysis ‎[4,587 bytes]
  45. (hist) ‎Exercise:Independent Component Analysis ‎[4,535 bytes]
  46. (hist) ‎逻辑回归的向量化实现样例 ‎[4,444 bytes]
  47. (hist) ‎线性解码器 ‎[4,337 bytes]
  48. (hist) ‎Exercise:Self-Taught Learning ‎[4,327 bytes]
  49. (hist) ‎Exercise:Vectorization ‎[4,320 bytes]
  50. (hist) ‎Exercise:Sparse Coding ‎[4,304 bytes]

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