Amazon Web Services and Microsoft’s AI and Research Group this day announced a new open-source deep learning API called Gluon, jointly promoted by the companies to let developers “prototype, build, train and deploy advanced machine learning models for the cloud, devices at the edge and mobile apps,” according to a report just released by the companies.
Deep learning requires teaching a computer to recognize models or unlock insights based on a set of rules for parsing a large pool of data. As you might expect, this is a very much complicated and time-exhausting process that requires a fair outlay of skill. Cloud companies offer ways to speed up the process, but a fair amount of skill is required to get significant results.
And most software developers involved in incorporating deep learning technology into their applications don’t have almost the amount of expertise on hand at either AWS or Microsoft; let alone their joined expertise. Gluon will give those developers a way to tap into that expertise externally having to invest nearly as much time and effort in guessing how to use machine learning techniques.
Gluon allows developers to write deep-learning methods in the popular Python language and take the power of deep learning templates developed by Microsoft and AWS. This makes it much simpler to get up and running and much easier to squeeze those templates for an application’s specific needs. Developers curious in learning more about the technology can check out Gluon.
Microsoft CEO Satya Nadella and Amazon CEO Jeff Bezos discussed collaborating at Microsoft’s CEO Summit last year, and executives confirmed after the Alexa-Cortana announcement that it might not be the last business between them. Microsoft Azure and AWS compete aggressively in the cloud, but under Nadella, Microsoft has made a point of partnering strategically with its rivals.
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