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- (hist) 稀疏自编码器符号一览表 [3,017 bytes]
- (hist) Vectorization [3,063 bytes]
- (hist) UFLDL Tutorial [3,125 bytes]
- (hist) Visualizing a Trained Autoencoder [3,147 bytes]
- (hist) Sparse Autoencoder Notation Summary [3,204 bytes]
- (hist) 池化 [3,297 bytes]
- (hist) 可视化自编码器训练结果 [3,356 bytes]
- (hist) 稀疏自编码重述 [3,750 bytes]
- (hist) Implementing PCA/Whitening [3,827 bytes]
- (hist) Exercise:Learning color features with Sparse Autoencoders [3,851 bytes]
- (hist) Exercise:PCA in 2D [4,081 bytes]
- (hist) Linear Decoders [4,182 bytes]
- (hist) 实现主成分分析和白化 [4,302 bytes]
- (hist) Exercise:Sparse Coding [4,304 bytes]
- (hist) Exercise:Vectorization [4,320 bytes]
- (hist) Exercise:Self-Taught Learning [4,327 bytes]
- (hist) 线性解码器 [4,337 bytes]
- (hist) 逻辑回归的向量化实现样例 [4,444 bytes]
- (hist) Exercise:Independent Component Analysis [4,535 bytes]
- (hist) Independent Component Analysis [4,587 bytes]
- (hist) Logistic Regression Vectorization Example [4,621 bytes]
- (hist) 独立成分分析 [4,791 bytes]
- (hist) 卷积特征提取 [4,929 bytes]
- (hist) 从自我学习到深层网络 [5,011 bytes]
- (hist) Feature extraction using convolution [5,057 bytes]
- (hist) Exercise: Implement deep networks for digit classification [5,274 bytes]
- (hist) Self-Taught Learning to Deep Networks [5,486 bytes]
- (hist) Stacked Autoencoders [6,007 bytes]
- (hist) 白化 [6,350 bytes]
- (hist) 栈式自编码算法 [6,457 bytes]
- (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]