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  1. Whitening ‎(13:20, 7 April 2013)
  2. Implementing PCA/Whitening ‎(13:22, 7 April 2013)
  3. Softmax Regression ‎(13:24, 7 April 2013)
  4. Self-Taught Learning ‎(13:26, 7 April 2013)
  5. Self-Taught Learning to Deep Networks ‎(13:29, 7 April 2013)
  6. Deep Networks: Overview ‎(13:31, 7 April 2013)
  7. Stacked Autoencoders ‎(13:33, 7 April 2013)
  8. UFLDL Tutorial ‎(18:22, 7 April 2013)
  9. Fine-tuning Stacked AEs ‎(04:04, 8 April 2013)
  10. Linear Decoders ‎(04:06, 8 April 2013)
  11. Feature extraction using convolution ‎(04:11, 8 April 2013)
  12. Pooling ‎(04:17, 8 April 2013)
  13. 数据预处理 ‎(04:22, 8 April 2013)
  14. Data Preprocessing ‎(04:22, 8 April 2013)
  15. Deriving gradients using the backpropagation idea ‎(04:26, 8 April 2013)
  16. Sparse Coding ‎(04:28, 8 April 2013)
  17. Independent Component Analysis ‎(04:35, 8 April 2013)
  18. 独立成分分析 ‎(04:37, 8 April 2013)
  19. 矢量化编程 ‎(04:59, 8 April 2013)
  20. 神经网络向量化 ‎(05:02, 8 April 2013)

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