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  <div class="vevent h-event"> <h1 class="summary p-name">Bayesian Deep Learning</h1> <div class='date'><time class="dtstart dt-start" title="2019-10-23T18:30:00" datetime="2019-10-23T18:30:00">Wednesday, October 23, 2019 from 6:30</time>–<time class="dtend dt-end" title="2019-10-23T20:30:00" datetime="2019-10-23T20:30:00">8:30pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202395673'><span class='fn org p-name'>Alchemy Code Lab</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">30 NW 10th Ave.</div> <span class="locality p-locality">Portland</span> , <span class="region p-region">OR</span> <span class="postal-code p-postal-code">97209</span> (<a href='https://maps.google.com/maps?q=30%20NW%2010th%20Ave.,%20Portland%20OR%2097209%20'>map</a>) </div> </div> <div class="description p-description"> <p>As you know this is more of group discussion meetup where we get together to discuss what we are learning, interested in, stumped by, curious about, etc...</p> <p>This month I propose we talk about Bayesian Deep Learning and study the materials from Yarin Gal's presentation at MLSS Moscow 2019 <a href="http://bdl101.ml">http://bdl101.ml</a></p> <p>There wont be a presentation. Instead I encourage you to read over the materials, try out some experiments and come share your findings and experiences. I have lots of questions about when/where it is useful and what kind of future it may have. I'm looking forward to hearing your questions and thoughts.</p> <p>All levels of experience and backgrounds are welcome so don't be shy. We all learn from each other.</p> <p>Also, if you have ideas for topics you'd like to see in future meetings please let me know. Thanks.</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="https://www.meetup.com/Probabilistic-Programming/events/zrndqqyznbfc/">Website</a></li> </ul> </div>