Deep Learning in Python Workshops - Session 6

#Generative #Adversarial #Network #Deep #Learning
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On behalf of IEEE Toronto section and WIE, We would like to invite you to the Deep Learning workshops we are hosting on August 13 - 29 at Ryerson University! The workshops are going to be placed on Tuesdays and Thursdays from 4 P.M. to 6 P.M. at Room ENG288 in George Vari Engineering and Computing Centre, located at 245 Church St. The workshop on August 29 will cover: Generative adversarial network


  Date and Time

  Location

  Hosts

  Registration


  • Date: 29 Aug 2019
  • Time: 04:00 PM to 06:00 PM
  • All times are (GMT-06:00) Canada/Central
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  • 245 Church St
  • Toronto, Ontario, Ontario
  • Canada M5B 1Z4
  • Building: George Vari Engineering and Computing Centre
  • Room Number: ENG288
  • Contact Event Host

  Speakers

Alex Dela Cruz

Topic:

Generative Adversarial Network

Generative Adversarial Networks (GANs) are deep generative models composed of two networks, a generator, and a discriminator, as opposed to each other [1]. In this session, our instructor, Alex Dela Cruz will be talking about GANs for the first half. The second half of the class will be focused on computation. 

 

[1] Rocca, J. (2019, August 25). Understanding Generative Adversarial Networks (GANs). Retrieved from https://towardsdatascience.com/understanding-generative-adversarial-networks-gans-cd6e4651a29