This folder is intended as a playground for experimenting with various neural network models and libraries. It contains implementations of
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mnist_mlp: A simple multilayer perceptron for MNIST implemented with keras
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mnist_cnn: A simple convolutional neural network for MNIST implemented with keras
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usps_cnn: A simple convolutional neural network for USPS dataset implemented with keras
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variational_autoencoder: Two implementations (one in pure Theano, one in lasagne) of the model proposed in
Kingma, D. P., & Welling, M. (2013). Auto-Encoding Variational Bayes. arXiv:1312.6114