AWS and Microsoft launch Gluon deep learning library

Amazon Web Services (AWS) and Microsoft have launched Gluon, a new deep learning library.

Gluon will allow developers to prototype, build and deploy machine learning models for the cloud and for mobile apps.

“The potential of machine learning can only be realised if it is accessible to all developers,” said Swami Sivasubramanian, vice president of AWS’ artificial intelligence division. “Today’s reality is that building and training machine learning models require a great deal of heavy lifting and specialised expertise. We created the Gluon interface so building neural networks and training models can be as easy as building an app. We look forward to our collaboration with Microsoft on continuing to evolve the Gluon interface for developers interested in making machine learning easier to use.”

The technology gives developers a concise programming interface that enables users to prototype and experiment with neural network models. Gluon’s training method also has minimal impact on the speed of the original engine.

Developers can use the Gluon interface to create neural networks and change their size and shape dynamically. The interface works with Apache MXNet, supports the Microsoft Cognitive Toolkit, and enables developers to build machine learning models using a Python application programming interface. Gluon also features a range of prebuilt, optimised neural network components.

“We believe it is important for the industry to work together and pool resources to build technology that benefits the broader community,” said Eric Boyd, corporate vice president of Microsoft AI and Research. “This is why Microsoft has collaborated with AWS to create the Gluon interface and enable an open AI ecosystem where developers have freedom of choice. Machine learning has the ability to transform the way we work, interact and communicate. To make this happen we need to put the right tools in the right hands, and the Gluon interface is a step in this direction.”