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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