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Autoencoders and SparsityBackpropagation AlgorithmBackpropagation vectorization hints
CodeData PreprocessingDeep Networks: Overview
Deriving gradients using the backpropagation ideaExercise:Convolution and PoolingExercise:Independent Component Analysis
Exercise:Learning color features with Sparse AutoencodersExercise:PCA and WhiteningExercise:PCA in 2D
Exercise:Self-Taught LearningExercise:Softmax RegressionExercise:Sparse Autoencoder
Exercise:Sparse CodingExercise:VectorizationExercise: Implement deep networks for digit classification
Exercise: PCA in 2DFeature extraction using convolutionFine-tuning Stacked AEs
Fminlbfgs DetailsGradient checking and advanced optimizationImplementing PCA/Whitening
Independent Component AnalysisLinear DecodersLogistic Regression Vectorization Example
MATLAB ModulesMain PageNeural Network Vectorization
Neural NetworksNeural Networks CNPCA
PoolingReflistSOFTMAX回归
SandboxSelf-Taught LearningSelf-Taught Learning to Deep Networks
Softmax RegressionSoftmax回归
Sparse Autoencoder Notation SummarySparse CodingSparse Coding: Autoencoder Interpretation
Stacked AutoencodersStyle GuideUFLDL Recommended Readings
UFLDL TutorialUFLDL Tutorial CNUFLDL教程
Useful LinksUsing the MNIST DatasetVectorization
Visualization with PCA/WhiteningVisualizing a Trained AutoencoderWhitening
Wiki documentation主成分分析从自我学习到深层网络
卷积特征提取反向传导算法可视化自编码器训练结果
实现主成分分析和白化微调多层自编码算法数据预处理
栈式自编码算法梯度检验与高级优化池化
深度网络概览独立成分分析用反向传导思想求导
白化矢量化编程神经网络
神经网络向量化稀疏编码稀疏编码自编码表达
稀疏自编码器符号一览表稀疏自编码重述线性解码器
自我学习自编码算法与稀疏性逻辑回归的向量化实现样例
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