ConvNetJS - Javascript implementation of Neural networks

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ConvNetJS is a Javascript implementation of Neural networks, It currently supports Common Neural Network modules, Classification (SVM/Softmax) and Regression (L2) cost functions, A MagicNet class for fully automatic neural network learning (automatic hyperparameter search and cross-validatations), Ability to specify and train Convolutional Networks that process images, An experimental Reinforcement Learning module, based on Deep Q Learning.

http://cs.stanford.edu/people/karpathy/convnetjs/
https://github.com/karpathy/convnetjs

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