Export to

• Google Calendar
• iCalendar file
• hCalendar markup
  <div class="vevent h-event"> <h1 class="summary p-name">Artificial Intelligence Training - Gap Data Engineering Framework - Computer Vision Image Preparation</h1> <div class='date'><time class="dtstart dt-start" title="2018-07-31T18:00:00" datetime="2018-07-31T18:00:00">Tuesday, July 31, 2018 from 6</time>–<time class="dtend dt-end" title="2018-07-31T20:00:00" datetime="2018-07-31T20:00:00">8pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202395757'><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 Southwest 4th Avenue</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%20Southwest%204th%20Avenue,%20Portland%20OR%2097204%20US'>map</a>) </div> </div> <div class="description p-description"> <p>This will be a hands on Python and computer vision machine learning so bring a laptop. We will be doing code alongs in a Jupyter Notebook using the Gap NLP/CV Data Engineering framework for Machine Learning. The code along will focus on a variety of ways of using the framework to get images into machine language ready data, storage/retrieval, and mini-batch generation.</p> <p> </p><p>Gap is a new open source project in Portland in a pre-launch stage (v0.9 - alpha). For more information on Gap, see: <a href="https://github.com/andrewferlitsch/Gap" class="linkified">https://github.com/andrewferlitsch/Gap</a></p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="https://www.meetup.com/Artificial-Intelligence-Training/events/253148200/">Website</a></li> </ul> </div>