Microsoft Cognitive ToolkitMicrosoft
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Related Products
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About
ConvNetJS is a Javascript library for training deep learning models (neural networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. The library allows you to formulate and solve neural networks in Javascript, and was originally written by @karpathy. However, the library has since been extended by contributions from the community and more are warmly welcome. The fastest way to obtain the library in a plug-and-play way if you don't care about developing is through this link to convnet-min.js, which contains the minified library. Alternatively, you can also choose to download the latest release of the library from Github. The file you are probably most interested in is build/convnet-min.js, which contains the entire library. To use it, create a bare-bones index.html file in some folder and copy build/convnet-min.js to the same folder.
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About
The Microsoft Cognitive Toolkit (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. CNTK allows the user to easily realize and combine popular model types such as feed-forward DNNs, convolutional neural networks (CNNs) and recurrent neural networks (RNNs/LSTMs). CNTK implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers. CNTK can be included as a library in your Python, C#, or C++ programs, or used as a standalone machine-learning tool through its own model description language (BrainScript). In addition you can use the CNTK model evaluation functionality from your Java programs. CNTK supports 64-bit Linux or 64-bit Windows operating systems. To install you can either choose pre-compiled binary packages, or compile the toolkit from the source provided in GitHub.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Developers, professionals and researchers seeking a solution for training deep learning models
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Audience
Developers and enterprises seeking a toolkit solution designed for commercial-grade distributed deep learning
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationConvNetJS
cs.stanford.edu/people/karpathy/convnetjs/
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Company InformationMicrosoft
Founded: 1975
United States
docs.microsoft.com/en-us/cognitive-toolkit/
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Alternatives |
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Categories |
Categories |
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Deep Learning Features
Convolutional Neural Networks
Supported
Document Classification
Not Supported
Image Segmentation
Not Supported
ML Algorithm Library
Not Supported
Model Training
Not Supported
Neural Network Modeling
Not Supported
Self-Learning
Not Supported
Visualization
Not Supported
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Integrations
AI Skills Navigator
Not Supported
Alteryx
Not Supported
AssurX
Not Supported
AuraQuantic
Not Supported
Azure Data Science Virtual Machines
Not Supported
Azure Database for MariaDB
Not Supported
Microsoft Dynamics 365 Finance
Not Supported
Microsoft Dynamics Supply Chain Management
Not Supported
Microsoft Power Platform
Not Supported
Qwen3-Omni
Supported
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Integrations
AI Skills Navigator
Supported
Alteryx
Supported
AssurX
Supported
AuraQuantic
Supported
Azure Data Science Virtual Machines
Supported
Azure Database for MariaDB
Supported
Microsoft Dynamics 365 Finance
Supported
Microsoft Dynamics Supply Chain Management
Supported
Microsoft Power Platform
Supported
Qwen3-Omni
Not Supported
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