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@tdomhan tdomhan commented Feb 25, 2014

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:
out

Aravindh Mahendran and others added 30 commits February 18, 2014 00:49
Add TanH = hyperbolic tangent activation layer (popular for sparse
autoencoders).
Generalize architectures to arbitrary DAGs by split layers
Set leveldb options.max_open_files = 100 and Fix BVLC#13 and BVLC#38