• DocumentCode
    3608388
  • Title

    The Computational Network Toolkit [Best of the Web]

  • Author

    Dong Yu ; Kaisheng Yao ; Yu Zhang

  • Author_Institution
    Miscrosoft Res., Bothell, WA, USA
  • Volume
    32
  • Issue
    6
  • fYear
    2015
  • Firstpage
    123
  • Lastpage
    126
  • Abstract
    The computational network toolkit (CNTK) is a general-purpose machine-learning tool that supports training and evaluation of arbitrary computational networks (CNs), i.e., machine-learning models that can be described as a series of computational steps. It runs under both Windows and Linux and on both central processing unit (CPU) and Compute Unified Device Architecture (CUDA)-enabled graphics processing unit (GPU) devices. The source code, periodic release builds, documents, and example setups can all be found at http://cntk.codeplex.com.
  • Keywords
    Linux; graphics processing units; learning (artificial intelligence); parallel architectures; recurrent neural nets; CNTK; CPU; CUDA-enabled GPU devices; Linux; Windows; arbitrary computational network evaluation; arbitrary computational network training; central processing unit; computational network toolkit; compute unified device architecture; general-purpose machine-learning tool; graphics processing unit; Computational modeling; Data models; Graphics processing units; Hidden Markov models; Neural networks; Speech recognition; Web sites;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2015.2462371
  • Filename
    7298561