CXXNET快速、简洁、分布式深度学习框架。

特性

• Lightweight: small but sharp knife
  • cxxnet contains concise implementation of state-of-art deep learning models
  • The project maintains a minimum dependency that makes it portable and easy to build
• Scale beyond single GPU and single machine
  • The library works on multiple GPUs, with nearly linear speedup
  • THe library works distributedly backed by disrtibuted parameter server
• Easy extensibility with no requirement on GPU programming
  • cxxnet is build on mshadow
  • developer can write numpy-style template expressions to extend the library only once
  • mshadow will generate high performance CUDA and CPU code for users
  • It brings concise and readable code, with performance matching hand crafted kernels
• Convenient interface for other languages
  • Python interface for training from numpy array, and prediction/extraction to numpy array
  • Matlab interface (TODO)

项目主页：http://www.open-open.com/lib/view/home/1426688210695