Deep Learning in Python Workshops - Session 3: CNN

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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 20 will cover: Convolutional Neural Network



  Date and Time

  Location

  Hosts

  Registration



  • Date: 20 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
  • Canada M5B 1Z4
  • Building: George Vari Engineering and Computing Centre
  • Room Number: ENG288



  Speakers

Mahshid

Topic:

Convolutional Neural Network

A Convolutional Neural Network is introduced as a Deep Learning algorithm that is able to can take in an input image, assign importance (learnable weights and biases) to various objects in the image and be able to differentiate one from the other [1]. In this session, Mahshid will go over the definition of CNN for the first half while the second half will be spent on computations.

 

 

[1] Saha, S. (2018, December 17). A Comprehensive Guide to Convolutional Neural Networks - the ELI5 way. Retrieved from https://towardsdatascience.com/a-comprehensive-guide-to-convolutional-neural-networks-the-eli5-way-3bd2b1164a53