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] 83460 views, 1:29:11 Introduction to Machine LearningIntroduction to Machine Learning Pascal Vincent Pascal Vincent 25 comments	[syn] 87973 views, 1:32:18 Deep Learning:Theoretical MotivationsDeep Learning:Theoretical Motivations Yoshua Bengio Yoshua Bengio 108 comments	[syn] 22617 views, 1:36:48 Multilayer Neural NetworksMultilayer Neural Networks Léon Bottou Léon Bottou	[syn] 24241 views, 1:25:11 Training Deep Neural NetworksTraining Deep Neural Networks Hugo Larochelle Hugo Larochelle 2 comments	[syn] 10707 views, 1:31:05 Multilayer Neural NetworksMultilayer Neural Networks Léon Bottou Léon Bottou 2 comments
[syn] 14057 views, 1:24:18 Deep Learning for Distribution EstimationDeep Learning for Distribution Estimation Hugo Larochelle Hugo Larochelle	[syn] 11531 views, 1:22:17 Undirected Graphical ModelsUndirected Graphical Models Aaron Courville Aaron Courville 4 comments	[syn] 10418 views, 1:28:35 Stacks of Restricted Boltzmann MachinesStacks of Restricted Boltzmann Machines Honglak Lee Honglak Lee	[syn] 13411 views, 1:33:31 On manifolds and autoencodersOn manifolds and autoencoders Pascal Vincent Pascal Vincent	[syn] 7680 views, 1:28:51 Visual features: From Fourier to GaborVisual features: From Fourier to Gabor Roland Memisevic Roland Memisevic
[syn] 16844 views, 1:31:59 Convolutional NetworksConvolutional Networks Honglak Lee Honglak Lee	[syn] 7130 views, 1:14:33 Learning to CompareLearning to Compare Graham Taylor Graham Taylor	[syn] 19284 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] 8913 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] 32762 views, 1:26:10 Deep Learning Deep Learning Ruslan Salakhutdinov Ruslan Salakhutdinov 19 comments	[syn] 9275 views, 1:27:20 Speech Recognition and Deep LearningSpeech Recognition and Deep Learning Adam Coates Adam Coates	[syn] 12049 views, 1:14:34 Deep Learning 2Deep Learning 2 Ruslan Salakhutdinov Ruslan Salakhutdinov	[syn] 22934 views, 1:24:38 Tutorial on Neural Network Optimization ProblemsTutorial on Neural Network Optimization Problems Ian Goodfellow Ian Goodfellow 1 comment	[syn] 6993 views, 1:25:37 Deep Learning (hopefully faster) Deep Learning (hopefully faster) Adam Coates Adam Coates
[syn] 10809 views, 1:29:54 Adversarial ExamplesAdversarial Examples Ian Goodfellow Ian Goodfellow 1 comment	[syn] 6919 views, 1:25:30 From Language Modelling to Machine TranslationFrom Language Modelling to Machine Translation Phil Blunsom Phil Blunsom	[syn] 11773 views, 1:22:00 Deep NLP Recurrent Neural NetworksDeep NLP Recurrent Neural Networks Richard Socher Richard Socher 1 comment	[syn] 7182 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] 7526 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] 4295 views, 1:27:06 Visual features IIVisual features II Roland Memisevic Roland Memisevic	[syn] 7426 views, 1:32:19 Non Smooth, Non Finite, and Non Convex OptimizationNon Smooth, Non Finite, and Non Convex Optimization Mark Schmidt Mark Schmidt	[syn] 18394 views, 1:32:51 Variational Autoencoder and ExtensionsVariational Autoencoder and Extensions Aaron Courville Aaron Courville 3 comments	[syn] 20100 views, 1:26:48 Deep Generative ModelsDeep Generative Models Yoshua Bengio Yoshua Bengio

Reviews and comments:

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

2 Narges Feshang, May 4, 2016 at 4:57 p.m.:

Deep Learning for medicine

3 Harrell, November 23, 2019 at 8:08 p.m.:

Nice blog with lots of information!

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Deep Learning Summer School 2015 - Montreal

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