What is Gluon?
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.
Gluon is a tool in the Machine Learning Tools category of a tech stack.
Gluon is an open source tool with 2.3K GitHub stars and 226 GitHub forks. Here’s a link to Gluon's open source repository on GitHub
Who uses Gluon?
20 developers on StackShare have stated that they use Gluon.
Pros of Gluon
- 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.
- High Performance: Gluon provides all of the above benefits without impacting the training speed that the underlying engine provides.
Gluon Alternatives & Comparisons
What are some alternatives to Gluon?
See all alternatives
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