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