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  <div class="vevent h-event"> <h1 class="summary p-name">PDX Machine Learning</h1> <div class='date'><time class="dtstart dt-start" title="2015-11-17T19:00:00" datetime="2015-11-17T19:00:00">Tuesday, November 17, 2015 from 7</time>–<time class="dtend dt-end" title="2015-11-17T21:00:00" datetime="2015-11-17T21:00:00">9pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202394264'><span class='fn org p-name'>Nedspace</span></a> <div class="adr p-adr h-adr"> </div> </div> <div class="description p-description"> <p>A quick look at MXNet which is a deep learning framework developed for high performance training on single or multiple machines/GPUs. It has bindings for Julia, Python and R currently and has a GPU backend capability. (more info here: <a href="https://github.com/dmlc/mxnet">https://github.com/dmlc/mxnet</a>)</p> <p>Also we should discuss the recent release of TensorFlow by Google.</p> <p>If anyone wants to do a 5 to 10 minute presentation on a Machine Learning topic that would be great as well.</p> <p><a href="https://etherpad.mozilla.org/PDX-Machine-Learning">Meeting notes from September meeting</a></p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="https://groups.google.com/forum/#!forum/randomforest">Website</a></li> </ul> </div>