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  1. UFLDL Tutorial ‎(4,685,607 views)
  2. UFLDL教程 ‎(2,655,705 views)
  3. Main Page ‎(1,221,659 views)
  4. 神经网络 ‎(767,026 views)
  5. Softmax回归 ‎(650,256 views)
  6. Neural Networks ‎(549,812 views)
  7. 反向传导算法 ‎(503,820 views)
  8. Backpropagation Algorithm ‎(497,590 views)
  9. UFLDL Recommended Readings ‎(482,227 views)
  10. Softmax Regression ‎(478,694 views)
  11. Feature extraction using convolution ‎(381,125 views)
  12. Exercise:Sparse Autoencoder ‎(313,281 views)
  13. 主成分分析 ‎(312,786 views)
  14. 自编码算法与稀疏性 ‎(257,289 views)
  15. Autoencoders and Sparsity ‎(256,635 views)
  16. Stacked Autoencoders ‎(226,185 views)
  17. PCA ‎(225,831 views)
  18. Gradient checking and advanced optimization ‎(214,162 views)
  19. 稀疏编码 ‎(213,986 views)
  20. 卷积特征提取 ‎(211,120 views)
  21. Using the MNIST Dataset ‎(208,510 views)
  22. Exercise:Convolution and Pooling ‎(203,059 views)
  23. Exercise:Softmax Regression ‎(196,960 views)
  24. 池化 ‎(195,515 views)
  25. Data Preprocessing ‎(192,769 views)
  26. 稀疏编码自编码表达 ‎(183,924 views)
  27. Whitening ‎(181,221 views)
  28. 白化 ‎(173,942 views)
  29. 梯度检验与高级优化 ‎(159,110 views)
  30. Exercise: Implement deep networks for digit classification ‎(156,279 views)
  31. Deep Networks: Overview ‎(156,218 views)
  32. Exercise:Self-Taught Learning ‎(154,756 views)
  33. 数据预处理 ‎(150,035 views)
  34. Sparse Coding ‎(148,287 views)
  35. 神经网络向量化 ‎(147,614 views)
  36. Self-Taught Learning ‎(143,131 views)
  37. 栈式自编码算法 ‎(141,595 views)
  38. Exercise:Vectorization ‎(140,727 views)
  39. 可视化自编码器训练结果 ‎(139,888 views)
  40. Exercise:PCA and Whitening ‎(136,049 views)
  41. 深度网络概览 ‎(134,558 views)
  42. Implementing PCA/Whitening ‎(132,051 views)
  43. Visualizing a Trained Autoencoder ‎(128,884 views)
  44. 从自我学习到深层网络 ‎(127,784 views)
  45. Pooling ‎(123,819 views)
  46. 自我学习 ‎(123,655 views)
  47. Self-Taught Learning to Deep Networks ‎(122,681 views)
  48. 逻辑回归的向量化实现样例 ‎(122,278 views)
  49. Fine-tuning Stacked AEs ‎(122,131 views)
  50. Logistic Regression Vectorization Example ‎(122,024 views)

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