Jul 31, 2016 
35 videos 
Deep Learning Summer School, Montreal 2016
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.
Invited Talks
Introduction to Torch
Aug 23, 2016 5689 views
Learning Deep Generative Models
Aug 23, 2016 14538 views
Beyond inspiration: Five lessons from biology on building intelligent machines
Aug 23, 2016 5826 views
Introduction to Reinforcement Learning
Aug 23, 2016 49214 views
Recurrent Neural Networks
Aug 23, 2016 42950 views
Beyond Seq2Seq with Augmented RNNs
Aug 23, 2016 20924 views
Convolutional Neural Networks and Computer Vision
Aug 23, 2016 17092 views
Learning to See
Aug 23, 2016 10061 views
Advanced Topics in RL
Aug 23, 2016 4834 views
Large Scale Deep Learning with TensorFlow
Aug 23, 2016 21777 views
Machine Learning
Aug 23, 2016 52699 views
Reasoning, Attention and Memory
Aug 23, 2016 13476 views
Theoretical neuroscience and deep learning theory
Aug 23, 2016 9577 views
Introduction to Theano
Aug 23, 2016 7969 views
Advanced Topics in RL
Aug 23, 2016 5153 views
Deep Natural Language Understanding
Aug 23, 2016 20837 views
Neural Networks
Aug 23, 2016 32482 views
Building Machines that Imagine and Reason: Principles and Applications of Deep G...
Aug 23, 2016 23501 views
Deep Reinforcement Learning
Aug 23, 2016 38971 views
GPU programming for Deep Learning
Aug 23, 2016 5938 views
Contributed Talks
Beam Search Message Passing in Bidirectional RNNs: Applications to Fill-in-the-B...
Aug 23, 2016 3156 views
Model-Based Relative Entropy Stochastic Search
Aug 23, 2016 2354 views
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
Aug 23, 2016 5952 views
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
Aug 23, 2016 3091 views
Analyzing the Behavior of Deep Visual Question Answering Models
Aug 23, 2016 6183 views
Variational Autoencoders with PixelCNN Decoders
Aug 23, 2016 5430 views
An Infinite Restricted Boltzmann Machine
Aug 23, 2016 2747 views
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Ne...
Aug 23, 2016 4313 views
Professor Forcing: A New Algorithm for Training Recurrent Networks
Aug 23, 2016 7280 views
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Aug 23, 2016 7992 views
Learning Nash Equilibrium for General-Sum Markov Games from Batch Dat
Aug 23, 2016 2065 views
A Network-based End-to-End Trainable Task-oriented Dialogue System
Aug 23, 2016 4682 views
Deep siamese neural network for prediction of long-range interactions in chromat...
Aug 23, 2016 3058 views
Inference Learning
Aug 23, 2016 3073 views
Deep multi-view representation learning of brain responses to natural stimuli
Aug 23, 2016 2936 views