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.
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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
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