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Improving on a single-layer convolutional architecture with lateral regularization and 
allowing breaking convolutional simmetry.

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Working example of an autoencoder learning features on the MNIST dataset will run with

python autoencoder.py

Working example (sort of) of a conv_net with autoencoder pretraining with a 10x10 receptive field
will run with

python conv_net.py

Requires skdata, numpy and theano

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Alex Susemihl 2013/07/02

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Elastic Convolutional Networks

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