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I have an old one written some time ago by myself too, in node.js/javascript: https://github.com/crystalline/dnnjs It is a simple multilayer perceptron with ReLU nonlinearity, it can achieve 1.7% error on MNIST which is bad compared to convnets but good enough for multilayer perceptron. Training a model is as simple as running "node node-mnist.js" in terminal.



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