The Computational Network Toolkit [Best of the Web]

11Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

Cite

CITATION STYLE

APA

Yu, D., Yao, K., & Zhang, Y. (2015). The Computational Network Toolkit [Best of the Web]. IEEE Signal Processing Magazine, 32(6), 123–126. https://doi.org/10.1109/MSP.2015.2462371

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free