Questions tagged [cntk]

Microsoft Cognitive Toolkit (CNTK) is an open source library for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph. In this directed graph, leaf nodes represent input values or network parameters, while other nodes represent matrix operations upon their inputs. CNTK allows to easily realize and combine popular model types such as feed-forward DNNs, convolutional nets (CNNs), and recurrent networks (RNNs/LSTMs).

CNTK implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers. CNTK has been available under an open-source license since April 2015. It is our hope that the community will take advantage of CNTK to share ideas more quickly through the exchange of open source working code.

In March 2019, Microsoft announced that version 2.7 was to be the last release of CNTK.

More information

• Documentation: Go to the CNTK documentation for all information on CNTK including setup, tutorials, etc.

• License: See LICENSE.md in the root of the CNTK repository for the full license information.

• Tutorial: Microsoft Computational Network Toolkit (CNTK) @ NIPS 2015 Workshops

Blogs:

• Microsoft Computational Network Toolkit offers most efficient distributed deep learning computational performance
• Microsoft researchers win ImageNet computer vision challenge (December 2015)