Yoshua Bengio

Yoshua Bengio

Yoshua Bengio is Full Professor of the Department of Computer Science and Operations Research, head of the Machine Learning Laboratory (MILA), CIFAR Program co-director of the CIFAR Neural Computation and Adaptive Perception program,  Canada Research Chair in Statistical Learning Algorithms, and he also holds the NSERC-Ubisoft industrial chair. His main research ambition is to understand principles of learning that yield intelligence. 

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Books Authored by Yoshua Bengio

[No longer publicly accessible] Learning Deep Architectures for AI

Post date: 30 Nov 2016
This monograph discusses the motivations and principles regarding learning algorithms for deep architectures, in particular those exploiting as building blocks unsupervised learning of single-layer models.
Publication date: 31 Dec 2009
Document Type: Paper
 
[No longer publicly accessible] Learning Deep Architectures for AI

[No longer publicly accessible] Learning Deep Architectures for AI

Post date: 30 Nov 2016
This monograph discusses the motivations and principles regarding learning algorithms for deep architectures, in particular those exploiting as building blocks unsupervised learning of single-layer models.
Publication date: 31 Dec 2009
Document Type: Paper


Deep Learning

Post date: 16 Apr 2016
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular.
Publisher: The MIT Press
Publication date: 18 Nov 2016
Document Type: Textbook
 
Deep Learning

Deep Learning

Post date: 16 Apr 2016
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular.
Publisher: The MIT Press
Publication date: 18 Nov 2016
Document Type: Textbook


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