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Deep Learning by Dr. Yoshua Bengio

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Deep learning is a branch of machine learning algorithms based on learning multiple levels of representation. The multiple levels of representation corresponds to multiple levels of abstraction. This post explores the idea that if we can successfully learn multiple levels of representation then we can generalize well.

The lecture “Deep Learning: Theoretical Motivations” given by Dr. Yoshua Bengio at Deep Learning Summer School, Montreal 2015 is  highly recommended for a deeper understanding of the topic.


Deep Learning:Theoretical Motivations

Yoshua Bengio

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Guest Saturday, 14 December 2019