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calendar icon Aug 2, 2015 videos icon 30 videos
Deep Learning Summer School, Montreal 2015

Deep Learning Summer School, Montreal 2015

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.

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01:27:06

Visual features II

Roland Memisevic

calendar icon Sep 13, 2015 4386 views

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01:24:38

Tutorial on Neural Network Optimization Problems

Ian Goodfellow

calendar icon Sep 13, 2015 23946 views

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01:28:23

NLP and Deep Learning 1: Human Language & Word Vectors

Christopher Manning

calendar icon Sep 13, 2015 19417 views

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01:22:17

Undirected Graphical Models

Aaron Courville

calendar icon Sep 13, 2015 11634 views

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01:25:37

Deep Learning (hopefully faster)

Adam Coates

calendar icon Sep 13, 2015 7101 views

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01:25:11

Training Deep Neural Networks

Hugo Larochelle

calendar icon Sep 13, 2015 24320 views

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01:25:30

From Language Modelling to Machine Translation

Phil Blunsom

calendar icon Sep 13, 2015 7013 views

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01:24:18

Deep Learning for Distribution Estimation

Hugo Larochelle

calendar icon Sep 13, 2015 14156 views

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01:22:49

Memory, Reading, and Comprehension

Phil Blunsom

calendar icon Sep 13, 2015 7261 views

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01:14:34

Deep Learning 2

Ruslan Salakhutdinov

calendar icon Sep 13, 2015 12178 views

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01:26:48

Deep Generative Models

Yoshua Bengio

calendar icon Sep 13, 2015 20219 views

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01:31:59

Convolutional Networks

Honglak Lee

calendar icon Sep 13, 2015 16958 views

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01:29:54

Adversarial Examples

Ian Goodfellow

calendar icon Sep 13, 2015 10978 views

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01:31:05

Multilayer Neural Networks

Léon Bottou

calendar icon Sep 13, 2015 10763 views

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01:36:48

Multilayer Neural Networks

Léon Bottou

calendar icon Sep 13, 2015 22805 views

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01:29:11

Introduction to Machine Learning

Pascal Vincent

calendar icon Sep 13, 2015 83847 views

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01:28:51

Visual features: From Fourier to Gabor

Roland Memisevic

calendar icon Sep 13, 2015 7770 views

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01:30:26

Smooth, Finite, and Convex Optimization Deep Learning Summer School

Mark Schmidt

calendar icon Sep 13, 2015 7720 views

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01:14:33

Learning to Compare

Graham Taylor

calendar icon Sep 13, 2015 7212 views

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01:25:18

NLP and Deep Learning 2: Compositional Deep Learning

Christopher Manning

calendar icon Sep 13, 2015 9030 views

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01:22:00

Deep NLP Recurrent Neural Networks

Richard Socher

calendar icon Sep 13, 2015 11828 views

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01:26:10

Deep Learning

Ruslan Salakhutdinov

calendar icon Sep 13, 2015 33025 views

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01:25:47

Seeing People with Deep Learning

Graham Taylor

calendar icon Sep 13, 2015 6349 views

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01:32:18

Deep Learning:Theoretical Motivations

Yoshua Bengio

calendar icon Sep 13, 2015 88778 views

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01:27:20

Speech Recognition and Deep Learning

Adam Coates

calendar icon Sep 13, 2015 9385 views

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01:20:28

Deep NLP Applications and Dynamic Memory Networks

Richard Socher

calendar icon Sep 13, 2015 9899 views

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01:32:19

Non Smooth, Non Finite, and Non Convex Optimization

Mark Schmidt

calendar icon Sep 13, 2015 7613 views

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01:33:31

On manifolds and autoencoders

Pascal Vincent

calendar icon Sep 13, 2015 13719 views

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01:32:51

Variational Autoencoder and Extensions

Aaron Courville

calendar icon Sep 13, 2015 18722 views

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01:28:35

Stacks of Restricted Boltzmann Machines

Honglak Lee

calendar icon Sep 13, 2015 10487 views

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