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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4371 views

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01:24:18

Deep Learning for Distribution Estimation

Hugo Larochelle

Sep 13, 2015

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14132 views

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01:24:38

Tutorial on Neural Network Optimization Problems

Ian Goodfellow

Sep 13, 2015

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23690 views

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01:22:17

Undirected Graphical Models

Aaron Courville

Sep 13, 2015

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11618 views

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01:25:37

Deep Learning (hopefully faster)

Adam Coates

Sep 13, 2015

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7079 views

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01:25:11

Training Deep Neural Networks

Hugo Larochelle

Sep 13, 2015

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24299 views

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01:25:30

From Language Modelling to Machine Translation

Phil Blunsom

Sep 13, 2015

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6996 views

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01:22:49

Memory, Reading, and Comprehension

Phil Blunsom

Sep 13, 2015

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7249 views

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01:14:34

Deep Learning 2

Ruslan Salakhutdinov

Sep 13, 2015

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12158 views

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01:26:48

Deep Generative Models

Yoshua Bengio

Sep 13, 2015

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20197 views

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01:31:59

Convolutional Networks

Honglak Lee

Sep 13, 2015

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16935 views

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01:29:54

Adversarial Examples

Ian Goodfellow

Sep 13, 2015

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10963 views

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01:20:28

Deep NLP Applications and Dynamic Memory Networks

Richard Socher

Sep 13, 2015

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9877 views

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01:31:05

Multilayer Neural Networks

Léon Bottou

Sep 13, 2015

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10752 views

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01:28:35

Stacks of Restricted Boltzmann Machines

Honglak Lee

Sep 13, 2015

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10476 views

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01:36:48

Multilayer Neural Networks

Léon Bottou

Sep 13, 2015

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22781 views

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01:29:11

Introduction to Machine Learning

Pascal Vincent

Sep 13, 2015

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83795 views

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01:28:51

Visual features: From Fourier to Gabor

Roland Memisevic

Sep 13, 2015

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7750 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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7699 views

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01:14:33

Learning to Compare

Graham Taylor

Sep 13, 2015

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7201 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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9014 views

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01:22:00

Deep NLP Recurrent Neural Networks

Richard Socher

Sep 13, 2015

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11811 views

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01:32:51

Variational Autoencoder and Extensions

Aaron Courville

Sep 13, 2015

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18638 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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19391 views

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01:26:10

Deep Learning

Ruslan Salakhutdinov

Sep 13, 2015

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32995 views

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01:25:47

Seeing People with Deep Learning

Graham Taylor

Sep 13, 2015

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6336 views

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01:32:18

Deep Learning:Theoretical Motivations

Yoshua Bengio

Sep 13, 2015

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88671 views

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01:27:20

Speech Recognition and Deep Learning

Adam Coates

Sep 13, 2015

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9366 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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7588 views

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01:33:31

On manifolds and autoencoders

Pascal Vincent

Sep 13, 2015

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13674 views