AWS & Microsoft's Gluon

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Gluon

Gluon provides a clear, concise API for defining machine learning models using a collection of pre-built, optimized neural network components. Developers who are new to machine learning will find this interface more familiar to traditional code, since machine learning models can be defined and manipulated just like any other data structure. More seasoned data scientists and researchers will value the ability to build prototypes quickly and utilize dynamic neural network graphs for entirely new model architectures, all without sacrificing training speed.

Use Gluon to simplify the integration of MXNet based neural networks. Achieve the same speed and performance with less lines of code!

Gluon Facts:

  • Gluon was built by both AWS and Microsoft and released in 2017
  • Gluon will support both MXnet and Microsoft Cognitive Toolkit
  • To help developers get started quickly, the AWS Deep Learning AMI has over 50 fully worked notebook examples to learn from.
  • Gluon will also have front-end interface and the low-level API specifications so it can be included in other frameworks

Learn more about Gluon and find some Gluon Tutorials by clicking here