Amazon Web Services (AWS) and Microsoft have joined hands to launch an open-source and deep learning interface ‘Gluon.’
Gluon is expected to help developers to deploy machine learning models across several platforms.
The Gluon interface lets developers use a Python API and pre-built neural network components to build machine learning models.
It will also work with Apache MXNet and Microsoft Cognitive Toolkit (CNTK), the release said.
“Today’s reality is that building and training machine learning models requires a great deal of heavy lifting and specialized expertise,” Swami Sivasubramanian, Vice President of Amazon AI was quoted as saying.
“We created the Gluon learning interface so building neural networks and training models can be as easy as building an app,” Sivasubramanian added.
Deep learning engines have popped up in the market to help accelerate the process, but they often require complex code in order to properly create the models they’ll use, the release said.
Gluon, on the other hand, uses a simple interface and concise code, allowing for simpler training and more experimentation.
AWS and Microsoft also published Gluon’s reference specification on GitHub to allow other deep learning engines to integrate with the interface.
The companies claim that ‘Gluon’ is a concise, easy-to-understand programming interface compared to other offerings.
They also believe that Gluon gives developers a chance to quickly prototype and experiment with neural network models without sacrificing performance.