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Title    MXNet Machine Learning Project Accepted by Apache Software Foundation
Date    Sunday February 26 2017, @05:57PM
Author   
Topic   
from the all-the-cool-kids-are-doing-it dept.
https://soylentnews.org/article.pl?sid=17/02/26/0740229

Arthur T Knackerbracket has found the following story:

Surprisingly, the MXNet Machine Learning project was this month accepted by the Apache Software Foundation as an open-source project.

What's surprising about the announcement isn't so much that the ASF is accepting this face in the crowd to its ranks – it's hard to turn around in the software world these days without tripping over ML tools – but rather that MXNet developers, most of whom are from Amazon, believe ASF is relevant.

MXNet is an open-source "deep learning" framework that allows you to define, train, and deploy so-called neural networks on a wide array of devices. It also happens to be the machine learning (ML) tool of choice at Amazon Web Services (AWS) and is available today via ready-to-deploy EC2 instances.

Deep learning is the currently very popular subset of ML that focuses on hierarchical algorithms with non-linearities, which help find patterns and learn representations within data sets. That's a fancy way of saying it learns as it finds. Deep learning tools are currently popular thanks to their success in applications like speech recognition, natural language understanding and recommendation systems (think Siri, Alexa and so on). Every time you sit on your couch yelling at Alexa you're employing a deep learning system.

What makes MXNet interesting at this stage is Amazon claims it's the most scalable tool the company has, and Amazon is a company that knows a thing or two about what scales and what doesn't.

-- submitted from IRC


Original Submission

Links

  1. "following story" - https://www.theregister.co.uk/2017/02/24/mxnet_goes_apache_why/
  2. "MXNet Machine Learning project" - http://dmlc.cs.washington.edu/mxnet.html
  3. "accepted" - https://projects.apache.org/project.html?mxnet
  4. "an open-source" - https://github.com/dmlc/mxnet
  5. "Original Submission" - https://soylentnews.org/submit.pl?op=viewsub&subid=18771

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