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  1. UFLDL Tutorial ‎(4,712,538 views)
  2. UFLDL教程 ‎(2,668,735 views)
  3. Main Page ‎(1,232,711 views)
  4. 神经网络 ‎(777,262 views)
  5. Softmax回归 ‎(664,654 views)
  6. Neural Networks ‎(552,790 views)
  7. 反向传导算法 ‎(513,680 views)
  8. Backpropagation Algorithm ‎(502,872 views)
  9. UFLDL Recommended Readings ‎(487,899 views)
  10. Softmax Regression ‎(484,264 views)
  11. Feature extraction using convolution ‎(388,564 views)
  12. 主成分分析 ‎(324,386 views)
  13. Exercise:Sparse Autoencoder ‎(315,508 views)
  14. 自编码算法与稀疏性 ‎(264,630 views)
  15. Autoencoders and Sparsity ‎(258,395 views)
  16. PCA ‎(228,560 views)
  17. Stacked Autoencoders ‎(228,107 views)
  18. 稀疏编码 ‎(222,847 views)
  19. Gradient checking and advanced optimization ‎(216,611 views)
  20. 卷积特征提取 ‎(215,287 views)
  21. Using the MNIST Dataset ‎(210,459 views)
  22. Exercise:Convolution and Pooling ‎(205,973 views)
  23. 池化 ‎(200,331 views)
  24. Exercise:Softmax Regression ‎(199,641 views)
  25. Data Preprocessing ‎(194,835 views)
  26. 稀疏编码自编码表达 ‎(191,803 views)
  27. Whitening ‎(182,886 views)
  28. 白化 ‎(178,934 views)
  29. 梯度检验与高级优化 ‎(163,059 views)
  30. Exercise: Implement deep networks for digit classification ‎(157,898 views)
  31. Deep Networks: Overview ‎(157,505 views)
  32. Exercise:Self-Taught Learning ‎(156,741 views)
  33. 数据预处理 ‎(156,703 views)
  34. 神经网络向量化 ‎(153,794 views)
  35. Sparse Coding ‎(149,386 views)
  36. 栈式自编码算法 ‎(145,173 views)
  37. 可视化自编码器训练结果 ‎(144,419 views)
  38. Self-Taught Learning ‎(144,275 views)
  39. Exercise:Vectorization ‎(142,807 views)
  40. 深度网络概览 ‎(139,008 views)
  41. Exercise:PCA and Whitening ‎(138,110 views)
  42. Implementing PCA/Whitening ‎(133,898 views)
  43. 从自我学习到深层网络 ‎(132,389 views)
  44. Visualizing a Trained Autoencoder ‎(129,729 views)
  45. 逻辑回归的向量化实现样例 ‎(128,353 views)
  46. 自我学习 ‎(126,583 views)
  47. Pooling ‎(125,275 views)
  48. Self-Taught Learning to Deep Networks ‎(123,659 views)
  49. Fine-tuning Stacked AEs ‎(123,491 views)
  50. Logistic Regression Vectorization Example ‎(122,743 views)
  51. Neural Network Vectorization ‎(120,230 views)
  52. Linear Decoders ‎(116,013 views)
  53. 微调多层自编码算法 ‎(113,774 views)
  54. Sparse Coding: Autoencoder Interpretation ‎(105,657 views)
  55. 用反向传导思想求导 ‎(103,928 views)
  56. 矢量化编程 ‎(100,646 views)
  57. Exercise:PCA in 2D ‎(95,486 views)
  58. 独立成分分析 ‎(94,897 views)
  59. Exercise:Learning color features with Sparse Autoencoders ‎(92,023 views)
  60. 稀疏自编码器符号一览表 ‎(91,430 views)
  61. 实现主成分分析和白化 ‎(88,026 views)
  62. Vectorization ‎(86,357 views)
  63. Sparse Autoencoder Notation Summary ‎(81,591 views)
  64. MATLAB Modules ‎(79,875 views)
  65. Deriving gradients using the backpropagation idea ‎(75,833 views)
  66. 线性解码器 ‎(74,357 views)
  67. Independent Component Analysis ‎(62,916 views)
  68. Exercise:Sparse Coding ‎(57,410 views)
  69. Exercise:Independent Component Analysis ‎(56,805 views)
  70. 稀疏自编码重述 ‎(43,157 views)
  71. Useful Links ‎(31,677 views)
  72. Style Guide ‎(27,073 views)
  73. Backpropagation vectorization hints ‎(25,227 views)
  74. Fminlbfgs Details ‎(21,697 views)
  75. Sandbox ‎(15,334 views)
  76. Exercise: PCA in 2D ‎(15,055 views)
  77. Neural Networks CN ‎(12,967 views)
  78. SOFTMAX回归 ‎(10,129 views)
  79. Visualization with PCA/Whitening ‎(6,013 views)
  80. Reflist ‎(5,689 views)
  81. UFLDL Tutorial CN ‎(5,609 views)
  82. Code ‎(4,102 views)
  83. Wiki documentation ‎(2,699 views)

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