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 2016 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
Invited Talks

Introduction to Torch
Aug 23, 2016
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5631 views

Learning Deep Generative Models
Aug 23, 2016
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14519 views

Beyond inspiration: Five lessons from biology on building intelligent machines
Aug 23, 2016
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5809 views

Introduction to Reinforcement Learning
Aug 23, 2016
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48966 views

Recurrent Neural Networks
Aug 23, 2016
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42893 views

Beyond Seq2Seq with Augmented RNNs
Aug 23, 2016
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20808 views

Convolutional Neural Networks and Computer Vision
Aug 23, 2016
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17066 views

Learning to See
Aug 23, 2016
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10034 views

Advanced Topics in RL
Aug 23, 2016
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4819 views

Large Scale Deep Learning with TensorFlow
Aug 23, 2016
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21725 views

Machine Learning
Aug 23, 2016
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52335 views

Reasoning, Attention and Memory
Aug 23, 2016
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13438 views

Theoretical neuroscience and deep learning theory
Aug 23, 2016
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9537 views

Introduction to Theano
Aug 23, 2016
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7948 views

Advanced Topics in RL
Aug 23, 2016
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5142 views

Deep Natural Language Understanding
Aug 23, 2016
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20559 views

Neural Networks
Aug 23, 2016
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32430 views

Building Machines that Imagine and Reason: Principles and Applications of Deep G...
Aug 23, 2016
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23444 views

Deep Reinforcement Learning
Aug 23, 2016
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38872 views

GPU programming for Deep Learning
Aug 23, 2016
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5921 views
Contributed Talks

Beam Search Message Passing in Bidirectional RNNs: Applications to Fill-in-the-B...
Aug 23, 2016
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3130 views

Model-Based Relative Entropy Stochastic Search
Aug 23, 2016
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2330 views

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
Aug 23, 2016
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5921 views

Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
Aug 23, 2016
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3077 views

Analyzing the Behavior of Deep Visual Question Answering Models
Aug 23, 2016
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6159 views

Variational Autoencoders with PixelCNN Decoders
Aug 23, 2016
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5407 views

An Infinite Restricted Boltzmann Machine
Aug 23, 2016
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2726 views

Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Ne...
Aug 23, 2016
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4294 views

Professor Forcing: A New Algorithm for Training Recurrent Networks
Aug 23, 2016
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7261 views

Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Aug 23, 2016
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7940 views

Learning Nash Equilibrium for General-Sum Markov Games from Batch Dat
Aug 23, 2016
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2046 views

A Network-based End-to-End Trainable Task-oriented Dialogue System
Aug 23, 2016
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4658 views

Deep siamese neural network for prediction of long-range interactions in chromat...
Aug 23, 2016
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3038 views

Inference Learning
Aug 23, 2016
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3054 views

Deep multi-view representation learning of brain responses to natural stimuli
Aug 23, 2016
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2910 views