TorontoDeepLearning / Convnet
Licence: bsd-2-clause
A GPU implementation of Convolutional Neural Nets in C++
Stars: ✭ 506
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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
- Imagenet Classification (ILSVRC 2013)
- MNIST, Feed-forward Neural Net
- MNIST, Convolutional Neural Net
Tutorials
Coming soon.
Documentation
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