Short pages

View (previous 50 | next 50) (20 | 50 | 100 | 250 | 500)

51. (hist) ‎Whitening ‎[6,509 bytes]
52. (hist) ‎Exercise:PCA and Whitening ‎[7,243 bytes]
53. (hist) ‎Gradient checking and advanced optimization ‎[7,681 bytes]
54. (hist) ‎梯度检验与高级优化 ‎[7,748 bytes]
55. (hist) ‎Neural Networks ‎[8,133 bytes]
56. (hist) ‎自我学习 ‎[8,279 bytes]
57. (hist) ‎UFLDL Recommended Readings ‎[8,559 bytes]
58. (hist) ‎神经网络 ‎[8,932 bytes]
59. (hist) ‎Self-Taught Learning ‎[9,002 bytes]
60. (hist) ‎Exercise:Softmax Regression ‎[9,147 bytes]
61. (hist) ‎深度网络概览 ‎[9,451 bytes]
62. (hist) ‎Data Preprocessing ‎[9,577 bytes]
63. (hist) ‎Autoencoders and Sparsity ‎[9,596 bytes]
64. (hist) ‎Exercise:Sparse Autoencoder ‎[9,802 bytes]
65. (hist) ‎Deep Networks: Overview ‎[10,033 bytes]
66. (hist) ‎数据预处理 ‎[10,143 bytes]
67. (hist) ‎Exercise:Convolution and Pooling ‎[10,160 bytes]
68. (hist) ‎Neural Network Vectorization ‎[10,349 bytes]
69. (hist) ‎神经网络向量化 ‎[10,454 bytes]
70. (hist) ‎自编码算法与稀疏性 ‎[10,609 bytes]
71. (hist) ‎Backpropagation Algorithm ‎[10,962 bytes]
72. (hist) ‎Sparse Coding ‎[10,965 bytes]
73. (hist) ‎稀疏编码 ‎[11,634 bytes]
74. (hist) ‎Reflist ‎[11,809 bytes]
75. (hist) ‎用反向传导思想求导 ‎[12,315 bytes]
76. (hist) ‎Deriving gradients using the backpropagation idea ‎[12,489 bytes]
77. (hist) ‎稀疏编码自编码表达 ‎[13,439 bytes]
78. (hist) ‎Sparse Coding: Autoencoder Interpretation ‎[13,703 bytes]
79. (hist) ‎反向传导算法 ‎[14,585 bytes]
80. (hist) ‎Softmax回归 ‎[15,195 bytes]
81. (hist) ‎主成分分析 ‎[17,683 bytes]
82. (hist) ‎Softmax Regression ‎[18,379 bytes]
83. (hist) ‎PCA ‎[19,007 bytes]

View (previous 50 | next 50) (20 | 50 | 100 | 250 | 500)