supported by https://github.com/soumith/inception.torch NN support means both CPU and GPU backends. You can also use Caffe inside Torch with this: https://github.com/szagoruyko/torch-caffe-binding However you can't use both loadcaffe and caffe in one torch session. An example of using the package is in [examples/mnist_lenet.lua](examples/mnist_lenet.lua). After running script to train lenet model in Caffe you can easily load and test it in Torch7 on CPU and GPU (with 'cuda' as a first arguments) Some of ImageNet networks are validated to give reported accuracy in torch in https://github.com/szagoruyko/imagenet-validation.torch Rights to caffe.proto belong to the University of California.

loadcaffe-master\.gitignore
loadcaffe-master\caffe.proto
loadcaffe-master\CMakeLists.txt
loadcaffe-master\examples\mnist_lenet.lua
loadcaffe-master\ffi.lua
loadcaffe-master\init.lua
loadcaffe-master\LICENSE
loadcaffe-master\loadcaffe-1.0-0.rockspec
loadcaffe-master\loadcaffe.cpp
loadcaffe-master\loadcaffe.lua
loadcaffe-master\README.md
loadcaffe-master\test\generate.lua
loadcaffe-master\test\test_all.lua
loadcaffe-master\test.lua
loadcaffe-master\examples
loadcaffe-master\test
loadcaffe-master

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