This is but a simple bunch of code to test performance of widely known convolutional neural networks on several publicly available image datasets.
Just build cuda-convnet included as git submodule & run run.sh.
Dont forget to fix its CMakeLists.txt:52 by uncommenting arch=compute_20,code=sm_21
for older video cards (like GTX 450 of mine ๐) & to pass something like
-DBLAS_LIBRARIES=/usr/lib/atlas-base/libcblas.so
to cmake when building.
Also, several additional modifications to python code of cuda-convnet would be required. I'll describe them later.