deepnet

Implementation of some deep learning algorithms.

GPU-based python implementation of

Feed-forward Neural Nets
Restricted Boltzmann Machines
Deep Belief Nets
Autoencoders
Deep Boltzmann Machines
Convolutional Neural Nets

Built on top of the cudamat library by Vlad Mnih and cuda-convnet library by Alex Krizhevsky.

Build on Windows

Instructions:

Install Python Tools for Visual Studio
Install CUDA (tested on CUDA 6.0).
Compile cudamat
- From the cudamat directory run: "nmake -f Makefile.win"
Compile eigen-mat
- From the eigenmat directory run: "nmake -f Makefile.win". The automated process will download Eigen3, Powershell 3.0 and .Net 4.5 if they are not available (those 2 are needed to automate the rest).
Open the solution and enjoy.

Pull requests are welcome.