A C++ neural network libray for sequences mainly, focusing on Long Short-term Memory (LSTM) and Restricted Boltsmann Machine (RBM) Layers.
It is accompanied with a paper for reference: [Polyphonic Music Modelling with LSTM-RTRBM], ACM Multimedia, 2015.

Creater&Maintainer: Qi Lyu

• Easy to create new layers with Matlab like syntax (just need to preallocate memory)
• Automatic Backpropagation through time (BPTT) calculation between layers
• Unified CPU/GPU code: could run in both CPU and GPU
• Extendable: easy to configure the net parameter with google's protobuf
• Weight snapshot, easy for loading model and visualizing

• CUDA library version 6.5 (recommended), 6.0, 5.5, or 5.0 and the latest driver version for CUDA 6 or 319.* for CUDA 5 (and NOT 331.*)
• BLAS (provided via ATLAS, MKL, or OpenBLAS)
• Boost (>= 1.55)
• mshadow (https://github.com/tqchen/mshadow)
• google-glog, Protocol Buffers, LevelDB (not necessary)
• OpenMp

• CXXNET: neural network implementation based on mshadow: https://github.com/antinucleon/cxxnet (Some of the design come from here, and a few lines are borrowed from this project)

This code is only for research purpose; Please note this code should be used at your own risk.

[Polyphonic Music Modelling with LSTM-RTRBM]: to be determined