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

Sep 13, 2015

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4351 views

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01:24:18

Deep Learning for Distribution Estimation

Hugo Larochelle

Sep 13, 2015

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14125 views

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01:24:38

Tutorial on Neural Network Optimization Problems

Ian Goodfellow

Sep 13, 2015

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23590 views

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01:22:17

Undirected Graphical Models

Aaron Courville

Sep 13, 2015

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11613 views

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01:25:37

Deep Learning (hopefully faster)

Adam Coates

Sep 13, 2015

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7071 views

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01:25:11

Training Deep Neural Networks

Hugo Larochelle

Sep 13, 2015

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24295 views

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01:25:30

From Language Modelling to Machine Translation

Phil Blunsom

Sep 13, 2015

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6994 views

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01:22:49

Memory, Reading, and Comprehension

Phil Blunsom

Sep 13, 2015

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7239 views

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01:14:34

Deep Learning 2

Ruslan Salakhutdinov

Sep 13, 2015

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12152 views

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01:26:48

Deep Generative Models

Yoshua Bengio

Sep 13, 2015

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20192 views

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01:31:59

Convolutional Networks

Honglak Lee

Sep 13, 2015

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16925 views

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01:29:54

Adversarial Examples

Ian Goodfellow

Sep 13, 2015

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10952 views

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01:20:28

Deep NLP Applications and Dynamic Memory Networks

Richard Socher

Sep 13, 2015

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9871 views

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01:31:05

Multilayer Neural Networks

Léon Bottou

Sep 13, 2015

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10746 views

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01:28:35

Stacks of Restricted Boltzmann Machines

Honglak Lee

Sep 13, 2015

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10471 views

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01:36:48

Multilayer Neural Networks

Léon Bottou

Sep 13, 2015

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22771 views

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01:29:11

Introduction to Machine Learning

Pascal Vincent

Sep 13, 2015

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83774 views

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01:28:51

Visual features: From Fourier to Gabor

Roland Memisevic

Sep 13, 2015

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7745 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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7688 views

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01:14:33

Learning to Compare

Graham Taylor

Sep 13, 2015

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7198 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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9008 views

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01:22:00

Deep NLP Recurrent Neural Networks

Richard Socher

Sep 13, 2015

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11804 views

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01:32:51

Variational Autoencoder and Extensions

Aaron Courville

Sep 13, 2015

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18635 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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19381 views

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01:26:10

Deep Learning

Ruslan Salakhutdinov

Sep 13, 2015

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32964 views

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01:25:47

Seeing People with Deep Learning

Graham Taylor

Sep 13, 2015

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6330 views

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01:32:18

Deep Learning:Theoretical Motivations

Yoshua Bengio

Sep 13, 2015

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88578 views

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01:27:20

Speech Recognition and Deep Learning

Adam Coates

Sep 13, 2015

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9359 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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7572 views

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01:33:31

On manifolds and autoencoders

Pascal Vincent

Sep 13, 2015

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13655 views