Microsoft Cognitive Toolkit Description

The Microsoft Cognitive Toolkit is an open-source toolkit that allows commercial-grade distributed deep-learning. It describes neural networks using a directed graph, which is a series of computational steps. CNTK makes it easy to combine popular models such as feed-forward DNNs (CNNs), convolutional neural network (CNNs), and recurrent neural network (RNNs/LSTMs) with ease. CNTK implements stochastic grade descent (SGD, error-backpropagation) learning with automatic differentiation/parallelization across multiple GPUs or servers. CNTK can be used in your Python, C# or C++ programs or as a standalone machine learning tool via its own model description language (BrainScript). You can also use the CNTK model assessment functionality in your Java programs. CNTK is compatible with 64-bit Linux and 64-bit Windows operating system. You have two options to install CNTK: you can choose pre-compiled binary packages or you can compile the toolkit using the source available in GitHub.

Integrations

API:
Yes, Microsoft Cognitive Toolkit has an API

Reviews - 3 Verified Reviews

Total
ease
features
design
support

Company Details

Company:
Microsoft
Year Founded:
1975
Headquarters:
United States
Website:
docs.microsoft.com/en-us/cognitive-toolkit/

Media

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Product Details

Platforms
SaaS
Windows
Type of Training
Documentation
Videos
Customer Support
Online

Microsoft Cognitive Toolkit Features and Options

Deep Learning Software

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Microsoft Cognitive Toolkit User Reviews

Write a Review
  • Name: Lynn J.
    Job Title: Marketing Specialist
    Length of product use: 1-2 Years
    Used How Often?: Daily
    Role: User
    Organization Size: 5,000 - 9,999
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Straightforward and Confidential Application

    Date: Feb 04 2021

    Summary: Microsoft Cognitive is a top notch software, for business operations and intelligence services.
    Also, Microsoft Cognitive has diverse features, making it a suitable multipurpose tool.

    Positive: Microsoft Cognitive focus on successful and efficient business Operations.
    The developer ensures a professional team of support players, ready with answers for the software.
    Rational features, with high updates and stability.

    Negative: Unfortunately, Microsoft Cognitive lacks flexibility, and it is also expensive, slightly. Rationalization of the software should be enhanced.

    Read More...
  • Name: Anonymous (Verified)
    Job Title: Software Developer
    Length of product use: Less than 6 months
    Used How Often?: Daily
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Machine learning toolkit

    Date: Sep 27 2020

    Summary: I have been learning Machine Learning via online tutorials and Microsoft Cognitive Toolkit has proved to be a great practical 'playground' where i can test the learnings.

    Positive: Open Source
    Beginner friendly
    Cross platform ( Windows , Linux )
    Decent documentation
    Good community support

    Negative: No cons, it is a great toolkit and can be used for beginners and intermediates alike.

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  • Name: Anonymous (Verified)
    Job Title: Service Engineer
    Length of product use: Less than 6 months
    Used How Often?: Daily
    Role: User
    Organization Size: 20,000 or More
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Good to get started with Machine learning

    Date: Aug 25 2020

    Summary: If you want to try out some exciting Machine Learning project like image recognition then Microsoft Cognitive Toolkit is definitely a great choice.

    Positive: Microsoft Cognitive Toolkit is a good open source tool for beginners to get started with Machine learning even with minimal coding experience. It supports multiple languages and can be setup on Windows or Linux. It has a decent developer community, there are a lot of projects and guides on Github.

    Negative: It may seem daunting for newcomers, it would be better if it had a more user friendly documentation.

    Read More...