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  <div class="vevent h-event"> <h1 class="summary p-name">Survey of Music Generation using Deep Learning w/ Jonathan Mackrory</h1> <div class='date'><time class="dtstart dt-start" title="2018-11-07T18:00:00" datetime="2018-11-07T18:00:00">Wednesday, November 7, 2018 from 6</time>–<time class="dtend dt-end" title="2018-11-07T20:00:00" datetime="2018-11-07T20:00:00">8pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202395971'><span class='fn org p-name'>The Tech Academy</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">310 SW 4th Ave Suite 230</div> <span class="locality p-locality">Portland</span> , <span class="region p-region">OR</span> <span class="postal-code p-postal-code">97204</span> <div class="country-name p-country-name">us</div> (<a href='https://maps.google.com/maps?q=310%20SW%204th%20Ave%20Suite%20230,%20Portland%20OR%2097204%20us'>map</a>) </div> </div> <div class="description p-description"> <p>== Slack == There is a #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> <p>== Topic == Jonathan Mackrory will lead the discussion.</p> <p>Music generation is one of the applications for deep learning where the emphasis is more on creativity than strict classification or regression. We'll have a presentation giving a quick survey of methods for music generation using deep learning. We'll have a whirlwind tour through representations of the music, important neural network architectures, some of the implementations, and hear some of the output. If we're lucky, some of it might even sound like music. We'll then wrap up with some open discussion about the topic.</p> <p>The presentation will closely follow and be based on "Deep Learning Techniques for Music Generation - A Survey" by Briot, Hadjeres and Pachet. The article is available here: <a href="https://arxiv.org/abs/1709.01620">https://arxiv.org/abs/1709.01620</a> Note that the article is 108 pages, so there is little expectation anyone will read it. For those that want to look at the article, the essential material is in Ch 4,5,7,10.</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="https://www.meetup.com/Portland-Deep-Learning/events/gxllgqyxpbkb/">Website</a></li> </ul> </div>