Deep Learning in Python Workshops - Session 5

#Deep #Learning #Transfer #in #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.
On Tuesday, August 27, we will be covering: Transfer Learning in CNN


  Date and Time

  Location

  Hosts

  Registration


  • Date: 27 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 Dela Cruz

Topic:

Transfer Learning in CNN

In this session of the workshop, Alex will be covering transfer learning in the convolutional neural network. The basic premise of transfer learning is to take a model trained on a large dataset and transfer its knowledge to a smaller dataset [1].

 

 

[1] Koehrsen, W. (2018, November 26). Transfer Learning with Convolutional Neural Networks in PyTorch. Retrieved from https://towardsdatascience.com/transfer-learning-with-convolutional-neural-networks-in-pytorch-dd09190245ce