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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]

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