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1. UFLDL Tutorial ‎(4,843,106 views)
2. UFLDL教程 ‎(2,704,500 views)
3. Main Page ‎(1,298,582 views)
4. 神经网络 ‎(822,476 views)
5. Softmax回归 ‎(697,468 views)
6. Neural Networks ‎(568,308 views)
7. 反向传导算法 ‎(562,843 views)
8. Backpropagation Algorithm ‎(521,943 views)
9. UFLDL Recommended Readings ‎(515,901 views)
10. Softmax Regression ‎(509,328 views)
11. Feature extraction using convolution ‎(424,469 views)
12. 主成分分析 ‎(375,806 views)
13. Exercise:Sparse Autoencoder ‎(325,207 views)
14. 自编码算法与稀疏性 ‎(298,434 views)
15. Autoencoders and Sparsity ‎(266,129 views)
16. 稀疏编码 ‎(263,592 views)
17. PCA ‎(249,489 views)
18. Stacked Autoencoders ‎(236,829 views)
19. 卷积特征提取 ‎(230,582 views)
20. 稀疏编码自编码表达 ‎(230,356 views)
21. Exercise:Convolution and Pooling ‎(227,347 views)
22. Gradient checking and advanced optimization ‎(224,910 views)
23. 池化 ‎(224,770 views)
24. Using the MNIST Dataset ‎(219,438 views)
25. Exercise:Softmax Regression ‎(215,942 views)
26. Data Preprocessing ‎(205,519 views)
27. 白化 ‎(199,273 views)
28. Whitening ‎(196,058 views)
29. 数据预处理 ‎(185,681 views)
30. 神经网络向量化 ‎(183,361 views)
31. 梯度检验与高级优化 ‎(180,347 views)
32. Exercise:Self-Taught Learning ‎(171,491 views)
33. Exercise: Implement deep networks for digit classification ‎(168,197 views)
34. Deep Networks: Overview ‎(168,033 views)
35. 可视化自编码器训练结果 ‎(164,211 views)
36. 栈式自编码算法 ‎(163,795 views)
37. 深度网络概览 ‎(161,353 views)
38. Exercise:Vectorization ‎(156,563 views)
39. 从自我学习到深层网络 ‎(155,553 views)
40. 逻辑回归的向量化实现样例 ‎(154,915 views)
41. Sparse Coding ‎(154,497 views)
42. Self-Taught Learning ‎(151,454 views)
43. Exercise:PCA and Whitening ‎(150,086 views)
44. Implementing PCA/Whitening ‎(144,200 views)
45. 自我学习 ‎(143,188 views)
46. Fine-tuning Stacked AEs ‎(133,796 views)
47. Visualizing a Trained Autoencoder ‎(133,681 views)
48. 微调多层自编码算法 ‎(133,328 views)
49. Pooling ‎(132,696 views)
50. Self-Taught Learning to Deep Networks ‎(130,495 views)
51. Linear Decoders ‎(130,173 views)
52. 用反向传导思想求导 ‎(128,800 views)
53. Logistic Regression Vectorization Example ‎(126,501 views)
54. Neural Network Vectorization ‎(126,315 views)
55. Sparse Coding: Autoencoder Interpretation ‎(114,459 views)
56. 矢量化编程 ‎(113,668 views)
57. 独立成分分析 ‎(113,552 views)
58. 稀疏自编码器符号一览表 ‎(102,932 views)
59. 实现主成分分析和白化 ‎(101,639 views)
60. Exercise:PCA in 2D ‎(100,897 views)
61. Exercise:Learning color features with Sparse Autoencoders ‎(99,675 views)
62. Vectorization ‎(89,883 views)
63. 线性解码器 ‎(84,395 views)
64. Sparse Autoencoder Notation Summary ‎(83,509 views)
65. MATLAB Modules ‎(82,840 views)
66. Deriving gradients using the backpropagation idea ‎(80,798 views)
67. Independent Component Analysis ‎(68,120 views)
68. Exercise:Sparse Coding ‎(61,622 views)
69. Exercise:Independent Component Analysis ‎(61,574 views)
70. 稀疏自编码重述 ‎(55,004 views)
71. Useful Links ‎(33,134 views)
72. Style Guide ‎(28,254 views)
73. Backpropagation vectorization hints ‎(26,079 views)
74. Fminlbfgs Details ‎(22,793 views)
75. Exercise: PCA in 2D ‎(17,393 views)
76. Sandbox ‎(16,892 views)
77. Neural Networks CN ‎(13,961 views)
78. SOFTMAX回归 ‎(12,706 views)
79. Visualization with PCA/Whitening ‎(7,156 views)
80. Reflist ‎(6,443 views)
81. UFLDL Tutorial CN ‎(6,097 views)
82. Code ‎(4,472 views)
83. Wiki documentation ‎(3,142 views)

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