Deep Learning Summer School, Montreal 2015

Deep Learning Summer School, Montreal 2015

30 Lectures · 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.

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Uploaded videos:

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01:29:11

Introduction to Machine Learning

Pascal Vincent

Sep 13, 2015

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83682 Views

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01:32:18

Deep Learning:Theoretical Motivations

Yoshua Bengio

Sep 13, 2015

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88369 Views

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01:36:48

Multilayer Neural Networks

Léon Bottou

Sep 13, 2015

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22735 Views

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01:25:11

Training Deep Neural Networks

Hugo Larochelle

Sep 13, 2015

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24278 Views

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01:31:05

Multilayer Neural Networks

Léon Bottou

Sep 13, 2015

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10723 Views

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01:24:18

Deep Learning for Distribution Estimation

Hugo Larochelle

Sep 13, 2015

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14101 Views

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01:22:17

Undirected Graphical Models

Aaron Courville

Sep 13, 2015

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11593 Views

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01:28:35

Stacks of Restricted Boltzmann Machines

Honglak Lee

Sep 13, 2015

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10463 Views

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01:33:31

On manifolds and autoencoders

Pascal Vincent

Sep 13, 2015

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13573 Views

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01:28:51

Visual features: From Fourier to Gabor

Roland Memisevic

Sep 13, 2015

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7730 Views

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01:31:59

Convolutional Networks

Honglak Lee

Sep 13, 2015

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16906 Views

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01:14:33

Learning to Compare

Graham Taylor

Sep 13, 2015

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7188 Views

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01:28:23

NLP and Deep Learning 1: Human Language & Word Vectors

Christopher Manning

Sep 13, 2015

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19345 Views

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01:25:47

Seeing People with Deep Learning

Graham Taylor

Sep 13, 2015

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6320 Views

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01:25:18

NLP and Deep Learning 2: Compositional Deep Learning

Christopher Manning

Sep 13, 2015

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8986 Views

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01:26:10

Deep Learning

Ruslan Salakhutdinov

Sep 13, 2015

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32916 Views

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01:27:20

Speech Recognition and Deep Learning

Adam Coates

Sep 13, 2015

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9335 Views

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01:14:34

Deep Learning 2

Ruslan Salakhutdinov

Sep 13, 2015

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12126 Views

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01:24:38

Tutorial on Neural Network Optimization Problems

Ian Goodfellow

Sep 13, 2015

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23351 Views

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01:25:37

Deep Learning (hopefully faster)

Adam Coates

Sep 13, 2015

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7057 Views

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01:29:54

Adversarial Examples

Ian Goodfellow

Sep 13, 2015

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10915 Views

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01:25:30

From Language Modelling to Machine Translation

Phil Blunsom

Sep 13, 2015

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6987 Views

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01:22:00

Deep NLP Recurrent Neural Networks

Richard Socher

Sep 13, 2015

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11796 Views

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01:22:49

Memory, Reading, and Comprehension

Phil Blunsom

Sep 13, 2015

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7219 Views

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01:20:28

Deep NLP Applications and Dynamic Memory Networks

Richard Socher

Sep 13, 2015

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9858 Views

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01:30:26

Smooth, Finite, and Convex Optimization Deep Learning Summer School

Mark Schmidt

Sep 13, 2015

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7651 Views

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01:27:06

Visual features II

Roland Memisevic

Sep 13, 2015

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4331 Views

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01:32:19

Non Smooth, Non Finite, and Non Convex Optimization

Mark Schmidt

Sep 13, 2015

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7544 Views

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01:32:51

Variational Autoencoder and Extensions

Aaron Courville

Sep 13, 2015

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18540 Views

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01:26:48

Deep Generative Models

Yoshua Bengio

Sep 13, 2015

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20155 Views

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