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Autoencoders and Sparsity
Backpropagation Algorithm
Backpropagation vectorization hints
Code
Data Preprocessing
Deep Networks: Overview
Deriving gradients using the backpropagation idea
Exercise:Convolution and Pooling
Exercise:Independent Component Analysis
Exercise:Learning color features with Sparse Autoencoders
Exercise:PCA and Whitening
Exercise:PCA in 2D
Exercise:Self-Taught Learning
Exercise:Softmax Regression
Exercise:Sparse Autoencoder
Exercise:Sparse Coding
Exercise:Vectorization
Exercise: Implement deep networks for digit classification
Exercise: PCA in 2D
Feature extraction using convolution
Fine-tuning Stacked AEs
Fminlbfgs Details
Gradient checking and advanced optimization
Implementing PCA/Whitening
Independent Component Analysis
Linear Decoders
Logistic Regression Vectorization Example
MATLAB Modules
Main Page
Neural Network Vectorization
Neural Networks
Neural Networks CN
PCA
Pooling
Reflist
SOFTMAX回归
Sandbox
Self-Taught Learning
Self-Taught Learning to Deep Networks
Softmax Regression
Softmax regression
Softmax回归
Sparse Autoencoder Notation Summary
Sparse Coding
Sparse Coding: Autoencoder Interpretation
Stacked Autoencoders
Style Guide
UFLDL Recommended Readings
UFLDL Tutorial
UFLDL Tutorial CN
UFLDL教程
Useful Links
Using the MNIST Dataset
Vectorization
Visualization with PCA/Whitening
Visualizing a Trained Autoencoder
Whitening
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