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Deep Learning Summer School, Montreal 2015

Deep Learning Summer School, Montreal 2015

30 Videos · Aug 2, 2015

About

Deep neural networks that learn to represent data in multiple layers of increasing abstraction have dramatically improved the state-of-the-art for speech recognition, object recognition, object detection, predicting the activity of drug molecules, and many other tasks. Deep learning discovers intricate structure in large datasets by building distributed representations, either via supervised, unsupervised or reinforcement learning.

The Deep Learning Summer School 2015 is aimed at graduate students and industrial engineers and researchers who already have some basic knowledge of machine learning (and possibly but not necessarily of deep learning) and wish to learn more about this rapidly growing field of research.

Videos

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01:27:06

Visual features II

Roland Memisevic

calendar icon Sep 13, 2015 4377 views

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01:24:18

Deep Learning for Distribution Estimation

Hugo Larochelle

calendar icon Sep 13, 2015 14144 views

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01:24:38

Tutorial on Neural Network Optimization Problems

Ian Goodfellow

calendar icon Sep 13, 2015 23847 views

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01:28:23

NLP and Deep Learning 1: Human Language & Word Vectors

Christopher Manning

calendar icon Sep 13, 2015 19410 views

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01:22:17

Undirected Graphical Models

Aaron Courville

calendar icon Sep 13, 2015 11626 views

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01:25:37

Deep Learning (hopefully faster)

Adam Coates

calendar icon Sep 13, 2015 7095 views

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01:25:11

Training Deep Neural Networks

Hugo Larochelle

calendar icon Sep 13, 2015 24312 views

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01:25:30

From Language Modelling to Machine Translation

Phil Blunsom

calendar icon Sep 13, 2015 7002 views

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01:22:49

Memory, Reading, and Comprehension

Phil Blunsom

calendar icon Sep 13, 2015 7257 views

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01:14:34

Deep Learning 2

Ruslan Salakhutdinov

calendar icon Sep 13, 2015 12170 views

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01:26:48

Deep Generative Models

Yoshua Bengio

calendar icon Sep 13, 2015 20208 views

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01:31:59

Convolutional Networks

Honglak Lee

calendar icon Sep 13, 2015 16949 views

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01:29:54

Adversarial Examples

Ian Goodfellow

calendar icon Sep 13, 2015 10974 views

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01:31:05

Multilayer Neural Networks

Léon Bottou

calendar icon Sep 13, 2015 10756 views

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01:28:35

Stacks of Restricted Boltzmann Machines

Honglak Lee

calendar icon Sep 13, 2015 10481 views

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01:36:48

Multilayer Neural Networks

Léon Bottou

calendar icon Sep 13, 2015 22794 views

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01:29:11

Introduction to Machine Learning

Pascal Vincent

calendar icon Sep 13, 2015 83826 views

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01:28:51

Visual features: From Fourier to Gabor

Roland Memisevic

calendar icon Sep 13, 2015 7763 views

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01:30:26

Smooth, Finite, and Convex Optimization Deep Learning Summer School

Mark Schmidt

calendar icon Sep 13, 2015 7714 views

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01:14:33

Learning to Compare

Graham Taylor

calendar icon Sep 13, 2015 7207 views

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01:25:18

NLP and Deep Learning 2: Compositional Deep Learning

Christopher Manning

calendar icon Sep 13, 2015 9026 views

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01:22:00

Deep NLP Recurrent Neural Networks

Richard Socher

calendar icon Sep 13, 2015 11822 views

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01:26:10

Deep Learning

Ruslan Salakhutdinov

calendar icon Sep 13, 2015 33016 views

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01:25:47

Seeing People with Deep Learning

Graham Taylor

calendar icon Sep 13, 2015 6344 views

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01:32:18

Deep Learning:Theoretical Motivations

Yoshua Bengio

calendar icon Sep 13, 2015 88724 views

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01:27:20

Speech Recognition and Deep Learning

Adam Coates

calendar icon Sep 13, 2015 9379 views

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01:20:28

Deep NLP Applications and Dynamic Memory Networks

Richard Socher

calendar icon Sep 13, 2015 9895 views

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01:32:19

Non Smooth, Non Finite, and Non Convex Optimization

Mark Schmidt

calendar icon Sep 13, 2015 7602 views

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01:33:31

On manifolds and autoencoders

Pascal Vincent

calendar icon Sep 13, 2015 13704 views

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01:32:51

Variational Autoencoder and Extensions

Aaron Courville

calendar icon Sep 13, 2015 18695 views

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