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Deep Learning v0.1 documentation
- LICENSE
- Deep Learning Tutorials
- Getting Started
- Datasets
- Notation
- A Primer on Supervised Optimization for Deep Learning
- Theano/Python Tips
- Classifying MNIST digits using Logistic Regression
- The Model
- Defining a Loss Function
- Creating a LogisticRegression class
- Learning the Model
- Testing the model
- Putting it All Together
- Multilayer Perceptron
- The Model
- Going from logistic regression to MLP
- Putting it All Together
- Tips and Tricks for training MLPs
- Convolutional Neural Networks (LeNet)
- Motivation
- Sparse Connectivity
- Shared Weights
- Details and Notation
- The ConvOp
- MaxPooling
- The Full Model: LeNet
- Putting it All Together
- Running the Code
- Tips and Tricks
- References
- Stacked Denoising Autoencoders (SdA)
- Autoencoders
- Denoising Autoencoders (dA)
- Stacked Autoencoders
- Putting it all together
- Running the Code
- References
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