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The Microsoft Cognitive Toolkit

The Microsoft Cognitive Toolkit is a deep learning framework developed by Microsoft Research, previously known as CNTK

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Overview

The Microsoft Cognitive Toolkit—previously known as CNTK—is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph.

The Microsoft Cognitive Toolkit enables to leverage the information within massive data-sets through deep learning by providing scaling, speed, and accuracy with commercial-grade quality and compatibility with the programming languages and algorithms already in use.

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Platform

   

Social

 

System Requirements

#Recommended
1OS: Ubuntu 16.04 LTS (64 bit)
2Compiler: GNU C++ 5.4.0
3MPI: Open MPI v. 1.10.7
4Math Library: Intel® MKLML library
5NVIDIA Components: NVIDIA CUDA 9.0, NVIDIA cuDNN 7.0 for CUDA 9.0, NVIDIA CUB 1.7.4
6OpenCV: OpenCV v.3.1.0
7zlib Library: zlib v.1.2.8
8libzip Library: libzip v.1.1.2
9Java: OpenJDK 7, 64-bit
10Anaconda Python: Anaconda3 4.1.1 (64 bit)
#Recommended
1OS: Windows 8.1 Pro (64 bit), Windows 10 (64 bit), Windows Server 2012 R2 Standard and later
2Compiler: Visual Studio Enterprise 2017
3MPI: Microsoft MPI v. 7.0
4Math Library: Intel® MKLML library
5NVIDIA Components: NVIDIA CUDA 9.0, NVIDIA cuDNN 7.0 for CUDA 9.0, NVIDIA CUB 1.7.4
6OpenCV: OpenCV v.3.1.0
7zlib Library: zlib v.1.2.8
8libzip Library: libzip v.1.1.3
9Java: Java SE Development Kit 8 v1.8.0_131, 64-bit
10Anaconda Python: Anaconda3 4.1.1 (64 bit)

Ratings

Aggregate
4.90 
 5
Capterra 5 
 5 		based on 5 reviews
G2CROWD 4.8 
 5 		based on 4 reviews

Developer

Microsoft Research

Written in

C++, Jupyter Notebook, Python

Initial Release

26 January 2016

Repository

https://github.com/Microsoft/CNTK

License

MIT

Categories

Artificial Intelligence, Machine Learning, Deep Learning, Framework

Alternatives

Artificial Intelligence
Eclipse Deeplearning4j   TensorFlow   Accord.NET   AForge.NET   OpenCog  
Machine Learning
Apache Mahout   Apache SystemML   Eclipse Deeplearning4j   MALLET   Massive Online Analysis (MOA)   OpenCV   scikit-learn   TensorFlow   Torch   Yooreeka   Orange   Apache MXNet (Incubating)   Apache Spark   mlpack   Weka   PyTorch  
Deep Learning
Apache SystemML   Eclipse Deeplearning4j   TensorFlow   Torch   Apache MXNet (Incubating)   Caffe   OpenNN   Weka   PyTorch  

Notes

  • In System Requirements, the presented set of product versions is not restrictive, i.e. CNTK may work well in many other configurations.

This page was last updated with commit: Now custom 'Remarks' are allowed instead of just 'Portable' in 'Get it'; all software's source files have been updated accordingly (0cb3959)