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GPU-Accelerated Deep Learning Library in Python

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There is a small typo in hebel/layers/hidden_layer.py, hebel/layers/linear_regression_layer.py, hebel/layers/logistic_layer.py, hebel/layers/softmax_layer.py. Should read `initialized` rather than `initalized`. Semi-automated pull request generated by https://github.com/timgates42/meticulous/blob/master/docs/NOTE.md

I have almost got it to work, but it is missing memory_pool. This is imported in the regression test.

Hi there, I really appreciate Hebel. It was a good first step for me to "take the plunge" into using GPU. I struggled a bit after going through the example...

# Hebel Enhancement Proposal 1: Wrap Alex Krizhevsky's cuda-convnet kernels (https://code.google.com/p/cuda-convnet/).

Hebel Enhancement Proposal

# Hebel Enhancement Proposal 2 Implement Autoencoders, including denoising autoencoders and contracting autoencoders.

Hebel Enhancement Proposal