A GPU implementation of Convolutional Neural Nets in C++
Cuda C++ C Python Other
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README.md

Welcome to ConvNet.

ConvNet is a fast C++ based GPU implementation of Convolutional Neural Nets.

  • Supports Multi-GPU architectures (Multiple GPUs, Single machine).
  • Provides a fast CPU-only feature extractor.

Installation

[Install guide] (https://github.com/torontodeeplearning/convnet/blob/master/INSTALL)

Pre-trained Models

Pre-trained models and examples for training and feature extraction are provided for

Tutorials

Coming soon.

Documentation

here