Deep Learning in Python Workshops: Session 4

#Deep #Learning #Python #Tensorflow #Neural #Network #CNN #LSTM
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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.
On Thursday, August 22, we will be covering Long Short-term Memory (LSTM).


  Date and Time

  Location

  Hosts

  Registration


  • Date: 22 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
  • Contact Event Host

  Speakers

Alex

Topic:

Long Short-term Memory (LSTM)

Long short-term memory (LSTM) is one of the most popular architectures in the field of deep learning. The main focus of this session is on the basic theory of this method as well as its computation using Tensorflow in Python.
While the previous workshops were focused on feed-forward structures, this workshop will introduce the recurrent neural networks as it is the fundamental of LSTM model that has feedback connections.

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