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Make an AI sound like a YouTuber (LAB): Crash Course AI #8

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 Computer Science   |   Science   |   Technology
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Please take the PBS Digital Studios survey here! https://www.pbsresearch.org/c/r/CC_YTvideo
Follow Along: https://colab.research.google.com/drive/1f8ik5kSPEvDCcM7R_-Wb3AjifizVEsHD
Lets try to help John Green Bot sound a bit more like the real John Green using Natural Language Processing. Today, we're going to code a program that takes a one word prompt and then completes the sentence that sounds like something John Green would say. To do this were going to collect transcription files from Vlogbrothers episodes, do some preprocessing since John Green has a pretty large vocabulary, then well set up a recurrent neural network (or RNN), train our model, and test it!

https://gpt2.apps.allenai.org/?text=Joel%20is
https://transformer.huggingface.co/

Crash Course AI is produced in association with PBS Digital Studios
https://www.youtube.com/user/pbsdigitalstudios/videos

Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse

Thanks to the following patrons for their generous monthly contributions that help keep Crash Course free for everyone forever:

Eric Prestemon, Sam Buck, Mark Brouwer, Indika Siriwardena, Avi Yashchin, Timothy J Kwist, Brian Thomas Gossett, Haixiang N/A Liu, Jonathan Zbikowski, Siobhan Sabino, Zach Van Stanley, Jennifer Killen, Nathan Catchings, Brandon Westmoreland, dorsey, Kenneth F Penttinen, Trevin Beattie, Erika & Alexa Saur, Justin Zingsheim, Jessica Wode, Tom Trval, Jason Saslow, Nathan Taylor, Khaled El Shalakany, SR Foxley, Sam Ferguson, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, David Noe, Shawn Arnold, William McGraw, Andrei Krishkevich, Rachel Bright, Jirat, Ian Dundore
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