As you may have heard, there's been a lot of talk about something called deep learning lately. So for our fourth episode, we and our special guest, Ryan Tombacco, are taking a deep dive into deep learning! We give broad overviews of machine learning, artificial intelligence, and the historical foundations of deep learning and then we get into some nitty gritty examples of what deep learning can do today. All throughout Ryan uses his podcast-ready voice to ask some really insightful questions, and we end up musing on the relationships between deep learning and the brain along with some philosophy of learning (Josh even brings up Kant...)
To listen or download, click
here.
To learn more,
deeplearning.net is a great resource. We also discussed Geoff Hinton and Yann Lecun, who are big names in the field, and
this paper on deep networks learning how to play Atari.
Our jazzy theme music "Quirky Dog" is courtesy of Kevin MacLeod (incompetech.com)
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