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It may be a surprise for some, but when two cloud – or even better- technology titans are facing each other, there’s going to be some collaboration and “friendly” competition. In this case, Amazon and Microsoft just announced the release of new deep learning library for developers called Gluon.
Gluon was defined by these two companies as “an open source deep learning interface that allows developers to more easily and quickly build machine learning models without compromising training performance”. But, what exactly does this represent? It’s acting as an interface that lets developers, of different skill levels, use Python and pre-built deep learning templates to simplify the building of models to run neural networks.
Neural networks are one of the key aspects of machine learning, it is represented by a system or program that process the information that is presented based on the dynamic responses it receives. The deep learning concept represents the set of techniques for learning used in these neural networks.
Graphical example of a neural network
The neural network definition is usually a manual process, which can take days from developers and architects. Gluon was created by Amazon and Microsoft as a way to generate simpler ways to build and facilitate the engines learning, so more and faster optimizations could be introduced in the processes.
In this process of looking for improvement, these two companies “got to talking and found we had a similar vision: to use these techniques to reduce the complexity of machine learning, making it accessible to more developers”.
Gluon is available today in AWS, using Apache MXNet, and will be available soon in the Microsoft Cognitive Toolkit. Since this is an open source platform, it is expected that more and more frameworks will use Gluon over time.
Some of the key benefits and innovations Amazon announces around Gluon:
Gluon API is available for download in GitHub.
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Amazon Web Services, Microsoft, Services by Augusto Alvarez
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