Gluon vs Microsoft Cognitive Toolkit

Gluon vs Microsoft Cognitive Toolkit: What are the differences?

What is Gluon? Deep Learning API from AWS and Microsoft. A new open source deep learning interface which allows developers to more easily and quickly build machine learning models, without compromising performance. Gluon provides a clear, concise API for defining machine learning models using a collection of pre-built, optimized neural network components.

What is Microsoft Cognitive Toolkit? 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.

Gluon and Microsoft Cognitive Toolkit belong to "Machine Learning Tools" category of the tech stack.

Some of the features offered by Gluon are:

• Simple, Easy-to-Understand Code: Gluon offers a full set of plug-and-play neural network building blocks, including predefined layers, optimizers, and initializers.
• Flexible, Imperative Structure: Gluon does not require the neural network model to be rigidly defined, but rather brings the training algorithm and model closer together to provide flexibility in the development process.
• Dynamic Graphs: Gluon enables developers to define neural network models that are dynamic, meaning they can be built on the fly, with any structure, and using any of Python’s native control flow.

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

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

Microsoft Cognitive Toolkit is an open source tool with 16.3K GitHub stars and 4.34K GitHub forks. Here's a link to Microsoft Cognitive Toolkit's open source repository on GitHub.