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CNTK - Computational Network Toolkit - is a unified deep-learning toolkit by Microsoft Research. This Wiki describes how to setup CNTK, how to use, configure and test it and how to define your own networks. 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.
Here are a few pages to get started:
For a general introduction to computational networks and the core algorithms, or to cite the work, please refer to the Microsoft Technical Report MSR-TR-2014-112: "An Introduction to Computational Networks and the Computational Network Toolkit", whose source files are contained in the CNTK repository in the folder Documentation/CNTK-TechReport/lyx. Please refer to the wiki for the most updated information on features and user guidelines. The book will be less frequently edited.
Getting Started
Additional Documentation
How to use CNTK
Using CNTK Models in Your Code
- Overview
- Nuget Package for Evaluation
- C++ Evaluation Interface
- C# Evaluation Interface
- Evaluating Hidden Layers
- C# Image Transforms for Evaluation
- C# Multi-model Evaluation
- Evaluate in Azure
Advanced topics
Licenses
Source Code & Development