LightNet is a lightweight, versatile and purely Matlab-based deep learning framework. The idea underlying its design is to provide an easy-to-understand, easy-to-use and efficient computational platform for deep learning research. The implemented framework supports major deep learning architectures such as Multilayer Perceptron Networks (MLP), Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). The framework also supports both CPU and GPU computation, and the switch between them is straightforward. Different applications in computer vision, natural language processing and robotics are demonstrated as experiments.
@article{arxiv.1605.02766,
title = {LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning},
author = {Chengxi Ye and Chen Zhao and Yezhou Yang and Cornelia Fermuller and Yiannis Aloimonos},
journal= {arXiv preprint arXiv:1605.02766},
year = {2016}
}
Comments
Accepted to ACM MULTIMEDIA 2016 Open Source Software Competition