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  1. Exercise:Learning color features with Sparse Autoencoders ‎(21:00, 21 June 2011)
  2. Exercise:Independent Component Analysis ‎(04:31, 4 October 2011)
  3. UFLDL Recommended Readings ‎(07:00, 18 February 2012)
  4. Exercise:Sparse Autoencoder ‎(14:34, 10 July 2012)
  5. UFLDL Tutorial CN ‎(13:57, 5 March 2013)
  6. SOFTMAX回归 ‎(15:15, 11 March 2013)
  7. 稀疏自编码重述 ‎(12:45, 19 March 2013)
  8. Neural Networks CN ‎(00:27, 29 March 2013)
  9. Main Page ‎(01:25, 31 March 2013)
  10. Neural Networks ‎(19:38, 6 April 2013)
  11. 神经网络 ‎(12:34, 7 April 2013)
  12. Gradient checking and advanced optimization ‎(12:40, 7 April 2013)
  13. Autoencoders and Sparsity ‎(12:43, 7 April 2013)
  14. Sparse Autoencoder Notation Summary ‎(12:45, 7 April 2013)
  15. Visualizing a Trained Autoencoder ‎(12:49, 7 April 2013)
  16. Backpropagation Algorithm ‎(12:50, 7 April 2013)
  17. Vectorization ‎(13:07, 7 April 2013)
  18. Logistic Regression Vectorization Example ‎(13:09, 7 April 2013)
  19. Neural Network Vectorization ‎(13:13, 7 April 2013)
  20. PCA ‎(13:18, 7 April 2013)
  21. Whitening ‎(13:20, 7 April 2013)
  22. Implementing PCA/Whitening ‎(13:22, 7 April 2013)
  23. Softmax Regression ‎(13:24, 7 April 2013)
  24. Self-Taught Learning ‎(13:26, 7 April 2013)
  25. Self-Taught Learning to Deep Networks ‎(13:29, 7 April 2013)
  26. Deep Networks: Overview ‎(13:31, 7 April 2013)
  27. Stacked Autoencoders ‎(13:33, 7 April 2013)
  28. UFLDL Tutorial ‎(18:22, 7 April 2013)
  29. Fine-tuning Stacked AEs ‎(04:04, 8 April 2013)
  30. Linear Decoders ‎(04:06, 8 April 2013)
  31. Feature extraction using convolution ‎(04:11, 8 April 2013)
  32. Pooling ‎(04:17, 8 April 2013)
  33. 数据预处理 ‎(04:22, 8 April 2013)
  34. Data Preprocessing ‎(04:22, 8 April 2013)
  35. Deriving gradients using the backpropagation idea ‎(04:26, 8 April 2013)
  36. Sparse Coding ‎(04:28, 8 April 2013)
  37. Independent Component Analysis ‎(04:35, 8 April 2013)
  38. 独立成分分析 ‎(04:37, 8 April 2013)
  39. 矢量化编程 ‎(04:59, 8 April 2013)
  40. 神经网络向量化 ‎(05:02, 8 April 2013)
  41. 主成分分析 ‎(05:04, 8 April 2013)
  42. 栈式自编码算法 ‎(05:15, 8 April 2013)
  43. 微调多层自编码算法 ‎(05:16, 8 April 2013)
  44. 线性解码器 ‎(05:18, 8 April 2013)
  45. 卷积特征提取 ‎(05:20, 8 April 2013)
  46. 池化 ‎(05:21, 8 April 2013)
  47. 梯度检验与高级优化 ‎(05:33, 8 April 2013)
  48. 稀疏自编码器符号一览表 ‎(05:34, 8 April 2013)
  49. 自我学习 ‎(05:35, 8 April 2013)
  50. 白化 ‎(05:37, 8 April 2013)

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