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
Visual features II
Sep 13, 2015
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4378 views
Deep Learning for Distribution Estimation
Hugo Larochelle
Sep 13, 2015
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14146 views
Tutorial on Neural Network Optimization Problems
Ian Goodfellow
Sep 13, 2015
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23885 views
NLP and Deep Learning 1: Human Language & Word Vectors
Christopher Manning
Sep 13, 2015
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19412 views
Undirected Graphical Models
Aaron Courville
Sep 13, 2015
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11627 views
Deep Learning (hopefully faster)
Adam Coates
Sep 13, 2015
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7096 views
Training Deep Neural Networks
Hugo Larochelle
Sep 13, 2015
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24312 views
From Language Modelling to Machine Translation
Phil Blunsom
Sep 13, 2015
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7003 views
Memory, Reading, and Comprehension
Phil Blunsom
Sep 13, 2015
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7257 views
Deep Learning 2
Ruslan Salakhutdinov
Sep 13, 2015
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12170 views
Deep Generative Models
Yoshua Bengio
Sep 13, 2015
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20209 views
Convolutional Networks
Honglak Lee
Sep 13, 2015
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16950 views
Adversarial Examples
Ian Goodfellow
Sep 13, 2015
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10974 views
Multilayer Neural Networks
Léon Bottou
Sep 13, 2015
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10756 views
Stacks of Restricted Boltzmann Machines
Honglak Lee
Sep 13, 2015
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10482 views
Multilayer Neural Networks
Léon Bottou
Sep 13, 2015
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22795 views
Introduction to Machine Learning
Pascal Vincent
Sep 13, 2015
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83831 views
Visual features: From Fourier to Gabor
Roland Memisevic
Sep 13, 2015
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7763 views
Smooth, Finite, and Convex Optimization Deep Learning Summer School
Mark Schmidt
Sep 13, 2015
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7716 views
Learning to Compare
Graham Taylor
Sep 13, 2015
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7207 views
NLP and Deep Learning 2: Compositional Deep Learning
Christopher Manning
Sep 13, 2015
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9026 views
Deep NLP Recurrent Neural Networks
Richard Socher
Sep 13, 2015
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11823 views
Deep Learning
Ruslan Salakhutdinov
Sep 13, 2015
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33018 views
Seeing People with Deep Learning
Graham Taylor
Sep 13, 2015
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6344 views
Deep Learning:Theoretical Motivations
Yoshua Bengio
Sep 13, 2015
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88737 views
Speech Recognition and Deep Learning
Adam Coates
Sep 13, 2015
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9380 views
Deep NLP Applications and Dynamic Memory Networks
Richard Socher
Sep 13, 2015
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9895 views
Non Smooth, Non Finite, and Non Convex Optimization
Mark Schmidt
Sep 13, 2015
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7606 views
On manifolds and autoencoders
Pascal Vincent
Sep 13, 2015
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13705 views
Variational Autoencoder and Extensions
Aaron Courville
Sep 13, 2015
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18714 views