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Microsoft Cognitive Toolkit
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Review

Microsoft Cognitive Toolkit

Overview
Synopsis

The Microsoft Cognitive Toolkit—previously known as CNTK—empowers you to harness the intelligence within massive datasets through deep learning by providing uncompromised scaling, speed, and accuracy with commercial-grade quality and compatibility with the programming languages and algorithms you already use.

Category

Deep Learning Software

Features

• Highly optimized, built-in components
• Efficient resource usage
• Easily express your own networks
• Training and hosting with Azure

License

Proprietary

Price

Free

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Company

Microsoft Cognitive Toolkit

PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.9
8.5
Features & Functionality
7.9
4.5
Advanced Features
7.9
Integration
7.9
8.9
Performance
7.9
Training
7.3
Customer Support
7.9
Implementation
Renew & Recommend
Bottom Line

The Microsoft Cognitive Toolkit is built with sophisticated algorithms and production readers to work reliably with massive datasets. Skype, Cortana, Bing, Xbox, and industry-leading data scientists already use the Microsoft Cognitive Toolkit to develop commercial-grade AI.

7.9
Editor Rating
7.3
Aggregated User Rating
2 ratings
You have rated this

The Microsoft Cognitive Toolkit is a free, easy-to-use, open-source, commercial-grade toolkit that trains deep learning algorithms to learn like the human brain. The Microsoft Cognitive Toolkit—previously known as CNTK—empowers users to harness the intelligence within massive datasets through deep learning by providing uncompromised scaling, speed, and accuracy with commercial-grade quality and compatibility with the programming languages and algorithms users already use. The Microsoft Cognitive Toolkit, 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. Moreover, the Microsoft Cognitive Toolkit trains and evaluates deep learning algorithms faster than other available toolkits, scaling efficiently in a range of environments—from a CPU, to GPUs, to multiple machines—while maintaining accuracy. The Microsoft Cognitive Toolkit is also built with sophisticated algorithms and production readers to work reliably with massive datasets. Skype, Cortana, Bing, Xbox, and industry-leading data scientists already use the Microsoft Cognitive Toolkit to develop commercial-grade AI. The Microsoft Cognitive Toolkit offers the most expressive, easy-to-use architecture available. Working with the languages and networks users know, like C++ and Python, it empowers users to customize any of the built-in training algorithms, or use users’ own.

 

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Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Training
Customer Support
Implementation
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