ConvNet
1.0
A GPU-based C++ implementation of Convolutional Neural Nets
|
Files | |
file | backtrace.cc |
file | conv_edge.cc |
file | conv_edge.h [code] |
file | conv_onetoone_edge.cc |
file | conv_onetoone_edge.h [code] |
file | convnet.cc |
file | convnet.h [code] |
file | convnet_config_pb2.py |
file | cudamat.cu |
file | cudamat.cuh |
file | cudamat_conv.cu |
file | cudamat_conv.cuh |
file | cudamat_conv_kernels.cu |
file | cudamat_conv_kernels.cuh |
file | cudamat_kernels.cu |
file | cudamat_kernels.cuh |
file | datahandler.cc |
file | datahandler.h [code] |
file | downsample_edge.cc |
file | downsample_edge.h [code] |
file | edge.cc |
file | edge.h [code] |
file | edge_with_weight.cc |
file | edge_with_weight.h [code] |
file | extra_code.cc |
file | extract_representation.cc |
file | fc_edge.cc |
file | fc_edge.h [code] |
file | grad_check.cc |
file | grad_check.h [code] |
file | image_iterators.cc |
file | image_iterators.h [code] |
file | jpeg2hdf5.cc |
file | layer.cc |
file | layer.h [code] |
file | local_edge.cc |
file | local_edge.h [code] |
file | matrix.cc |
file | matrix.h [code] |
file | maxpool_edge.cc |
file | maxpool_edge.h [code] |
file | multigpu_convnet.cc |
file | multigpu_convnet.h [code] |
file | optimizer.cc |
file | optimizer.h [code] |
file | pbtxt2dot.py |
file | response_norm_edge.cc |
file | response_norm_edge.h [code] |
file | rgb_to_yuv_edge.cc |
file | rgb_to_yuv_edge.h [code] |
file | rnd_multipliers_32bit.h [code] |
file | run_grad_check.cc |
file | sample.cc |
file | train_convnet.cc |
file | train_multigpu_convnet.cc |
file | upsample_edge.cc |
file | upsample_edge.h [code] |
file | util.cc |
file | util.h [code] |