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  <div class="vevent h-event"> <h1 class="summary p-name">Ensemble methods, Peer mentoring and Coursera course discussion</h1> <div class='date'><time class="dtstart dt-start" title="2017-11-08T06:00:00" datetime="2017-11-08T06:00:00">Wednesday, November 8, 2017 from 6</time>–<time class="dtend dt-end" title="2017-11-08T08:00:00" datetime="2017-11-08T08:00:00">8am</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202395744'><span class='fn org p-name'>Tura.io</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">2828 Southwest Corbett Avenue</div> <span class="locality p-locality">Portland</span> , <span class="region p-region">OR</span> <span class="postal-code p-postal-code">97201</span> <div class="country-name p-country-name">US</div> (<a href='https://maps.google.com/maps?q=2828%20Southwest%20Corbett%20Avenue,%20Portland%20OR%2097201%20US'>map</a>) </div> </div> <div class="description p-description"> <p>Lets get together to discuss all aspects of deep learning.</p> <p>In particular, this week I'm interested in learning more about ensemble methods for deep learning. If you get a chance and are so inclined check out The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification</p> <p>Also, bring any questions you may have on the Fast.AI or Andrew Ng's coursera course.</p> <p>All levels of experience are welcome. We rarely have presentations, though we may someone leads a discussion. Bring your questions, projects and ideas, basic or advanced, and we'll try to help.</p> <p>Don't forget the #deep-learning channel in the PDX Startups slack which you can join at <a href="https://pdx-startups-slack.herokuapp.com">https://pdx-startups-slack.herokuapp.com</a></p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="https://www.meetup.com/Portland-Deep-Learning/events/244553657/">Website</a></li> </ul> </div>