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.
Visual features II
Sep 13, 2015 4386 views
Tutorial on Neural Network Optimization Problems
Sep 13, 2015 23946 views
NLP and Deep Learning 1: Human Language & Word Vectors
Sep 13, 2015 19417 views
Undirected Graphical Models
Sep 13, 2015 11634 views
Deep Learning (hopefully faster)
Sep 13, 2015 7101 views
Training Deep Neural Networks
Sep 13, 2015 24320 views
From Language Modelling to Machine Translation
Sep 13, 2015 7013 views
Deep Learning for Distribution Estimation
Sep 13, 2015 14156 views
Memory, Reading, and Comprehension
Sep 13, 2015 7261 views
Deep Learning 2
Sep 13, 2015 12178 views
Deep Generative Models
Sep 13, 2015 20219 views
Convolutional Networks
Sep 13, 2015 16958 views
Adversarial Examples
Sep 13, 2015 10978 views
Multilayer Neural Networks
Sep 13, 2015 10763 views
Multilayer Neural Networks
Sep 13, 2015 22805 views
Introduction to Machine Learning
Sep 13, 2015 83847 views
Visual features: From Fourier to Gabor
Sep 13, 2015 7770 views
Smooth, Finite, and Convex Optimization Deep Learning Summer School
Sep 13, 2015 7720 views
Learning to Compare
Sep 13, 2015 7212 views
NLP and Deep Learning 2: Compositional Deep Learning
Sep 13, 2015 9030 views
Deep NLP Recurrent Neural Networks
Sep 13, 2015 11828 views
Deep Learning
Sep 13, 2015 33025 views
Seeing People with Deep Learning
Sep 13, 2015 6349 views
Deep Learning:Theoretical Motivations
Sep 13, 2015 88778 views
Speech Recognition and Deep Learning
Sep 13, 2015 9385 views
Deep NLP Applications and Dynamic Memory Networks
Sep 13, 2015 9899 views
Non Smooth, Non Finite, and Non Convex Optimization
Sep 13, 2015 7613 views
On manifolds and autoencoders
Sep 13, 2015 13719 views
Variational Autoencoder and Extensions
Sep 13, 2015 18722 views
Stacks of Restricted Boltzmann Machines
Sep 13, 2015 10487 views
