[alok-g]

I am interested in using Deep Learning for several Windows Desktop projects but am struggling a bit due to dependencies in various open-source libraries which are often built on Linux platforms.

I have attempted to use Caffe, which has an unofficial Windows port, which nevertheless is failing to compile for me due to some issue. I have looked at DeepLearning4j, but I am again confused by the setup on Windows since it uses some native libraries for BLAS and provides little help on how to set it up. I am now looking at CXXNET, which looks promising since the source code looks very nicely organised.

Another issue I face is that most libraries come with MNIST, ImageNet, etc. examples where the training data is already pre-processed, and I find practically no examples of how to plug my own data. (In fact, the specific problem I am interested in may require modifying the library a bit.)

I am unsure if this work will be of help to you, though I can imagine other folks on Windows who may benefit from this.