Deep Learning Summer School, Montreal 2016
35 Lectures · Jul 31, 2016
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.
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Uploaded videos:
Invited Talks
Machine Learning
Aug 23, 2016
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52062 Views
Neural Networks
Aug 23, 2016
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32385 Views
Introduction to Theano
Aug 23, 2016
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7921 Views
Convolutional Neural Networks and Computer Vision
Aug 23, 2016
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17021 Views
Learning to See
Aug 23, 2016
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10017 Views
Introduction to Torch
Aug 23, 2016
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5604 Views
Recurrent Neural Networks
Aug 23, 2016
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42806 Views
Reasoning, Attention and Memory
Aug 23, 2016
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13404 Views
Large Scale Deep Learning with TensorFlow
Aug 23, 2016
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21691 Views
Deep Natural Language Understanding
Aug 23, 2016
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20518 Views
Beyond Seq2Seq with Augmented RNNs
Aug 23, 2016
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20764 Views
GPU programming for Deep Learning
Aug 23, 2016
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5889 Views
Introduction to Reinforcement Learning
Aug 23, 2016
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48678 Views
Deep Reinforcement Learning
Aug 23, 2016
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38712 Views
Advanced Topics in RL
Aug 23, 2016
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5127 Views
Advanced Topics in RL
Aug 23, 2016
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4804 Views
Learning Deep Generative Models
Aug 23, 2016
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14474 Views
Building Machines that Imagine and Reason: Principles and Applications of Deep G...
Aug 23, 2016
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23374 Views
Beyond inspiration: Five lessons from biology on building intelligent machines
Aug 23, 2016
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5786 Views
Theoretical neuroscience and deep learning theory
Aug 23, 2016
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9507 Views
Contributed Talks
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Ne...
Aug 23, 2016
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4270 Views
Professor Forcing: A New Algorithm for Training Recurrent Networks
Aug 23, 2016
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7242 Views
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
Aug 23, 2016
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5893 Views
Deep multi-view representation learning of brain responses to natural stimuli
Aug 23, 2016
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2891 Views
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Aug 23, 2016
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7897 Views
Model-Based Relative Entropy Stochastic Search
Aug 23, 2016
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2313 Views
Learning Nash Equilibrium for General-Sum Markov Games from Batch Dat
Aug 23, 2016
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2030 Views
A Network-based End-to-End Trainable Task-oriented Dialogue System
Aug 23, 2016
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4642 Views
Inference Learning
Aug 23, 2016
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3039 Views
Variational Autoencoders with PixelCNN Decoders
Aug 23, 2016
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5385 Views
An Infinite Restricted Boltzmann Machine
Aug 23, 2016
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2708 Views
Deep siamese neural network for prediction of long-range interactions in chromat...
Aug 23, 2016
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3016 Views
Beam Search Message Passing in Bidirectional RNNs: Applications to Fill-in-the-B...
Aug 23, 2016
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3112 Views
Analyzing the Behavior of Deep Visual Question Answering Models
Aug 23, 2016
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6127 Views
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
Aug 23, 2016
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3059 Views