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Microsoft Cognitive Toolkit
Microsoft Cognitive Toolkit

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Toolkit
Toolkit

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Microsoft Cognitive Toolkit vs Toolkit: What are the differences?

Developers describe Microsoft Cognitive Toolkit as "An open-source toolkit for deep learning". It 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. On the other hand, Toolkit is detailed as "Extensible front-end HTML, CSS, and JavaScript user interface components for the responsive, mobile, and modern web". Toolkit makes use of the latest and greatest technology. This includes HTML5 for semantics, CSS3 for animations and styles, Sass for CSS pre-processing, Gulp for task and package management, and powerful new browser APIs for the JavaScript layer.

Microsoft Cognitive Toolkit and Toolkit are primarily classified as "Machine Learning" and "Front-End Frameworks" tools respectively.

Some of the features offered by Microsoft Cognitive Toolkit are:

  • Speed & Scalability
  • Commercial-Grade Quality
  • Easy-to-use architecture

On the other hand, Toolkit provides the following key features:

  • Mobile First
  • Responsive Design
  • Semantic Markup

Microsoft Cognitive Toolkit and Toolkit are both open source tools. Microsoft Cognitive Toolkit with 16.3K GitHub stars and 4.34K forks on GitHub appears to be more popular than Toolkit with 1.11K GitHub stars and 121 GitHub forks.

What is Microsoft Cognitive Toolkit?

It 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.

What is Toolkit?

Toolkit makes use of the latest and greatest technology. This includes HTML5 for semantics, CSS3 for animations and styles, Sass for CSS pre-processing, Gulp for task and package management, and powerful new browser APIs for the JavaScript layer.
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          What tools integrate with Microsoft Cognitive Toolkit?
          What tools integrate with Toolkit?
          What are some alternatives to Microsoft Cognitive Toolkit and Toolkit?
          TensorFlow
          TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
          scikit-learn
          scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
          Keras
          Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
          PyTorch
          PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
          ML Kit
          ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.
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