(The list is in alphabetical order)
- It includes Common Neural Network modules which contain fully connected layers and non-linearities.
- It supports Classification (SVM/Softmax) and Regression (L2) cost functions
- ConvNetJS has the ability to specify and train Convolutional Networks that process images
- It also supports an experimental Reinforcement Learning module which is based on Deep Q Learning.
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