2017-07-26. Slides for CNTK tutorial at CVPR 2017 has been posted here.
2017-07-07. CNTK July interation plan posted here.
2017-06-26. A great class for getting started with both Deep Learning and CNTK, Deep Learning Explained is now available on edX.
2017-06-01. CNTK 2.0 is released. The first production release of Cognitive Toolkit v.2. See more in the Release Notes, and get the Release from the CNTK Releases page.
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The Microsoft Cognitive Toolkit (https://cntk.ai), is a unified deep-learning toolkit that 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). It 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.
- Setup CNTK
- Windows Python-only / Script-driven / Manual
- Linux Python-only / Script-driven / Manual / Docker
- CNTK backend for Keras
- Setup CNTK development environment
- Windows Script-driven / Manual
- Linux Manual
You may learn more about CNTK with the following resources:
- General documentation
- Python API documentation
- BrainScript documentation
- Evaluation documentation (C++, C#/.NET, Python, Java)
- Manual
- Tutorials
- Examples
- Blog
- Presentations
- License
CNTK is in active use at Microsoft and constantly evolving. There will be bugs.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.