Export to

• Google Calendar
• iCalendar file
• hCalendar markup
  <div class="vevent h-event"> <h1 class="summary p-name">Deep learning peer mentoring, discussion and YOLO walk through w/ Zach Blank</h1> <div class='date'><time class="dtstart dt-start" title="2018-02-07T18:00:00" datetime="2018-02-07T18:00:00">Wednesday, February 7, 2018 from 6</time>–<time class="dtend dt-end" title="2018-02-07T20:00:00" datetime="2018-02-07T20:00:00">8pm</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>This week Zach will walk us through The YOLO <a href="https://pjreddie.com/darknet/yolo/">https://pjreddie.com/darknet/yolo/</a> neural net, how it works and how it can be used in your apps.</p> <p>Lets get together to discuss all aspects of deep learning and any questions you may have on the Fast.AI or Andrew Ng's coursera course.</p> <p>Fast.Ai's Deep Learning For Coders Part 1 Version 2 has been soft launched and the videos, notebooks and code are available. So now is a great time to watch the videos and work through the exercises and come and discuss them. <a href="http://forums.fast.ai/t/unofficial-release-of-part-1-v2/9285">http://forums.fast.ai/t/unofficial-release-of-part-1-v2/9285</a></p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="https://www.meetup.com/Portland-Deep-Learning/events/pjlqgpyxdbkb/">Website</a></li> </ul> </div>