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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:Sparse Coding
- Exercise:Vectorization
- Exercise: Implement deep networks for digit classification
- Feature extraction using convolution
- Fine-tuning Stacked AEs
- Fminlbfgs Details
- Gradient checking and advanced optimization
- Implementing PCA/Whitening
- Independent Component Analysis
- Linear Decoders