Deep Learning Summer School 2015 - Montreal

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.

Categories

Top » Computer Science » Machine Learning » Deep Learning
Top » Computer Science » Machine Learning » Unsupervised Learning
Top » Computer Science » Machine Learning » Reinforcement Learning


[syn] 83346 views, 1:29:11 Introduction to Machine LearningIntroduction to Machine Learning Pascal Vincent Pascal Vincent 28 comments	[syn] 87830 views, 1:32:18 Deep Learning:Theoretical MotivationsDeep Learning:Theoretical Motivations Yoshua Bengio Yoshua Bengio 132 comments	[syn] 22606 views, 1:36:48 Multilayer Neural NetworksMultilayer Neural Networks Léon Bottou Léon Bottou 5 comments	[syn] 24227 views, 1:25:11 Training Deep Neural NetworksTraining Deep Neural Networks Hugo Larochelle Hugo Larochelle 3 comments	[syn] 10701 views, 1:31:05 Multilayer Neural NetworksMultilayer Neural Networks Léon Bottou Léon Bottou 2 comments
[syn] 14052 views, 1:24:18 Deep Learning for Distribution EstimationDeep Learning for Distribution Estimation Hugo Larochelle Hugo Larochelle	[syn] 11529 views, 1:22:17 Undirected Graphical ModelsUndirected Graphical Models Aaron Courville Aaron Courville 5 comments	[syn] 10413 views, 1:28:35 Stacks of Restricted Boltzmann MachinesStacks of Restricted Boltzmann Machines Honglak Lee Honglak Lee	[syn] 13385 views, 1:33:31 On manifolds and autoencodersOn manifolds and autoencoders Pascal Vincent Pascal Vincent	[syn] 7678 views, 1:28:51 Visual features: From Fourier to GaborVisual features: From Fourier to Gabor Roland Memisevic Roland Memisevic
[syn] 16835 views, 1:31:59 Convolutional NetworksConvolutional Networks Honglak Lee Honglak Lee	[syn] 7128 views, 1:14:33 Learning to CompareLearning to Compare Graham Taylor Graham Taylor	[syn] 19275 views, 1:28:23 NLP and Deep Learning 1: Human Language & Word Vectors NLP and Deep Learning 1: Human Language & Word Vectors Christopher Manning Christopher Manning 5 comments	[syn] 6251 views, 1:25:47 Seeing People with Deep LearningSeeing People with Deep Learning Graham Taylor Graham Taylor	[syn] 8911 views, 1:25:18 NLP and Deep Learning 2: Compositional Deep Learning NLP and Deep Learning 2: Compositional Deep Learning Christopher Manning Christopher Manning 1 comment
[syn] 32744 views, 1:26:10 Deep Learning Deep Learning Ruslan Salakhutdinov Ruslan Salakhutdinov 20 comments	[syn] 9274 views, 1:27:20 Speech Recognition and Deep LearningSpeech Recognition and Deep Learning Adam Coates Adam Coates	[syn] 12044 views, 1:14:34 Deep Learning 2Deep Learning 2 Ruslan Salakhutdinov Ruslan Salakhutdinov	[syn] 22823 views, 1:24:38 Tutorial on Neural Network Optimization ProblemsTutorial on Neural Network Optimization Problems Ian Goodfellow Ian Goodfellow 1 comment	[syn] 6992 views, 1:25:37 Deep Learning (hopefully faster) Deep Learning (hopefully faster) Adam Coates Adam Coates
[syn] 10803 views, 1:29:54 Adversarial ExamplesAdversarial Examples Ian Goodfellow Ian Goodfellow 1 comment	[syn] 6917 views, 1:25:30 From Language Modelling to Machine TranslationFrom Language Modelling to Machine Translation Phil Blunsom Phil Blunsom	[syn] 11767 views, 1:22:00 Deep NLP Recurrent Neural NetworksDeep NLP Recurrent Neural Networks Richard Socher Richard Socher 1 comment	[syn] 7181 views, 1:22:49 Memory, Reading, and ComprehensionMemory, Reading, and Comprehension Phil Blunsom Phil Blunsom	[syn] 9785 views, 1:20:28 Deep NLP Applications and Dynamic Memory NetworksDeep NLP Applications and Dynamic Memory Networks Richard Socher Richard Socher 1 comment
[syn] 7520 views, 1:30:26 Smooth, Finite, and Convex Optimization Deep Learning Summer SchoolSmooth, Finite, and Convex Optimization Deep Learning Summer School Mark Schmidt Mark Schmidt	[syn] 4294 views, 1:27:06 Visual features IIVisual features II Roland Memisevic Roland Memisevic	[syn] 7419 views, 1:32:19 Non Smooth, Non Finite, and Non Convex OptimizationNon Smooth, Non Finite, and Non Convex Optimization Mark Schmidt Mark Schmidt	[syn] 18366 views, 1:32:51 Variational Autoencoder and ExtensionsVariational Autoencoder and Extensions Aaron Courville Aaron Courville 24 comments	[syn] 20095 views, 1:26:48 Deep Generative ModelsDeep Generative Models Yoshua Bengio Yoshua Bengio

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1 Gustavo Botelho de Souza, March 9, 2016 at 3:10 p.m.:

Hello.

Are you preparing an edition of the Deep Learning Summer School in 2016?

Best regards.

Gustavo

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