LightNet: A versatile, standalone matlab-based environment for deep learning: Simplify deep learning in hundreds of lines of code

Chengxi Ye, Chen Zhao, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

LightNet is a lightweight, versatile, 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 learn-ing architectures such as Multilayer Perceptron Networks (MLP), Convolutional Neural Networks (CNN) and Recur-rent 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 demon-strated as experiments. Availability: the source code and data is available at: https://github.com/yechengxi/LightNet.

Original languageEnglish (US)
Title of host publicationMM 2016 - Proceedings of the 2016 ACM Multimedia Conference
PublisherAssociation for Computing Machinery, Inc
Pages1156-1159
Number of pages4
ISBN (Electronic)9781450336031
DOIs
StatePublished - Oct 1 2016
Externally publishedYes
Event24th ACM Multimedia Conference, MM 2016 - Amsterdam, United Kingdom
Duration: Oct 15 2016Oct 19 2016

Publication series

NameMM 2016 - Proceedings of the 2016 ACM Multimedia Conference

Other

Other24th ACM Multimedia Conference, MM 2016
CountryUnited Kingdom
CityAmsterdam
Period10/15/1610/19/16

Keywords

  • Computer vision
  • Convolutional neural networks
  • Deep learning
  • Image understanding
  • Machine learning
  • Multilayer perceptrons
  • Natural language processing
  • Recurrent neural networks
  • Reinforcement learning

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Ye, C., Zhao, C., Yang, Y., Fermüller, C., & Aloimonos, Y. (2016). LightNet: A versatile, standalone matlab-based environment for deep learning: Simplify deep learning in hundreds of lines of code. In MM 2016 - Proceedings of the 2016 ACM Multimedia Conference (pp. 1156-1159). (MM 2016 - Proceedings of the 2016 ACM Multimedia Conference). Association for Computing Machinery, Inc. https://doi.org/10.1145/2964284.2973791