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IFT6266 - H2015 Representation Learning
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This is a course on representation learning in general and deep learning in particular. Deep learning has recently been responsible for a large number of impressive empirical gains across a wide array
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IFT6266 - H2015 Representation Learning
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2026-02-28 06:08:30
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IFT6266 – H2015 Representation Learning – A mostly deep learning course Skip to content IFT6266 – H2015 Representation Learning A mostly deep learning course Menu Outline Lectures Announcements Questions and answers Project Description Project Blogs and Repos Resources Scroll down to content Outline This is a course on representation learning in general and deep learning in particular. Deep learning has recently been responsible for a large number of impressive empirical gains across a wide array of applications including most dramatically in object recognition and detection in images and speech recognition. In this course we will explore both the fundamentals and recent advances in the area of deep learning. Our focus will be on neural network-type models including convolutional neural networks and recurrent neural networks such as the LSTM. We will also consider some probabilistic graphical models, including undirected models such as the Boltz...
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