Deep learning techniques - overview

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ULB Machine Learning Group (MLG)
S E M I N A R
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Title: Deep learning techniques - overview

By: Yann-Aël Le Borgne, Machine Learning Group, Université libre de Bruxelles, Belgium

When:
Tue 9 May 2017 from 4PM to 6PM

Where:
Université libre de Bruxelles,
Campus de la Plaine (http://www.ulb.ac.be/campus/plaine/plan.html)
Forum A (http://www.ulb.ac.be/campus/plaine/plan-F.html)
Boulevard du Triomphe
1050 Bruxelles

Abstract:
The presentation will provide a brief recall of neural networks (perceptron and multi-layer perceptrons, gradient descent, backpropagation) and will then cover in more details how convolutional and recurrent networks work, discuss parallelisation strategies, and give an overview of deep learning toolboxes. The presentation will be given as part of the course 'Statistical foundations of Machine Learning' (INFO-F-422, 1st year Master).