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Web site for the graduate class on Representation Learning Algorithms IFT6266 H14.

Instructor: Professor Yoshua Bengio
Teaching assistant: PhD candidate David Warde-Farley

Université de Montréal, département d’informatique et recherche opérationnelle

Course plan (pdf, in French)

Class hours and locations:
Mondays 2:30-4:30pm, Z-210
Thursdays 9:30-11:30am, 1409 PAA

One thought on “Home

  1. In Larochelle’s lecture 9.6, I am having trouble understanding the numbers from the first convolution layer.
    The input image is 83×83 and, using 9×9 convolutions (64 kernels) he gets a layer of 64 feature maps of 75×75.
    I am sure this is a simple question, but I still have trouble understanding how to derive these. Could we maybe go over this quickly?

    This link will bring up the Figure: https://www.youtube.com/watch?v=cDdpwAIsuD8&list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH#t=45

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