N2D2 is a open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.
C++ TeX Cuda Python CMake C Other
Switch branches/tags
Nothing to show
Clone or download

README.md

N2D2

Linux CPU
≥ GCC 4.4.7
Linux GPU
≥ CUDA 6.5 + CuDNN 1.0
Windows CPU
≥ Visual Studio 2013.3
Windows GPU
≥ CUDA 8.0 + CuDNN 5.1
License
Build Status Build Status Build Status Build Status Coverage Status

N2D2 (for 'Neural Network Design & Deployment') is a open source CAD framework for Deep Neural Network (DNN) simulation and full DNN-based applications building. It is developped by the CEA LIST along with industrial and academic partners and is open to community contributors. The only mandatory dependencies for N2D2 are OpenCV (≥ 2.0.0) and Gnuplot. The NVIDIA CUDA and CuDNN libraries are required to enable GPU-acceleration.

If you did like to contribute to N2D2, please make sure to review the contribution guidelines.

Usage

To compile and use N2D2, please refer to the manual, which contains the following resources:

  • General presentation of the framework;
  • How to compile N2D2 and perform simulations;
  • How to write neural network models;
  • Tutorials.

The N2D2 executables and application examples are located in the exec directory.

Obtain N2D2 with Docker: docker pull cealist/n2d2

License

N2D2 is released under the CeCILL-C license, a free software license adapted to both international and French legal matters that is fully compatible with the FSF's GNU/LGPL license.