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visualization of the conv layer kernels #158
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Add TanH = hyperbolic tangent activation layer (popular for sparse autoencoders).
up when merging, I think)
Generalize architectures to arbitrary DAGs by split layers
remove test code (no longer needed and won't compile)
This is basically an adopted version of the conv layer kernel visualization from: https://code.google.com/p/cuda-convnet/source/browse/trunk/shownet.py
Here's for example the first layer of the imagenet model, that's available for download:
