Friday, August 14, 2015

Slides; Deep Learning Summer School 2015

Here are some of the slides presented at the Deep Learning Summer School 2015. Enjoy !

Day 1, Mon, Aug 3
Pascal Vincent: Intro to ML (9:00-10:30) 
Leon Bottou: Intro to multi-layer nets (2:00-3:30) 

Day 2, Tue, Aug 4
Hugo Larochelle: Neural nets and backprop (9:00-10:30) 
Hugo Larochelle: Directed Graphical Models and NADE (2:00-3:30) 
Intro to Theano (4:00-5:30)

Day 3, Wed, Aug 5
Aaron Courville: Intro to undirected graphical models (9:00-10:30) 
Honglak Lee: Stacks of RBMs (11:00-12:30) 
GPU Programming (4:00-5:30)

Day 4, Th, Aug 6
Roland Memisevic: Visual features (9:00-10:30) 
Honglak Lee: Convolutional networks (11:00-12:30) 
Graham Taylor: Learning similarity  (2:00-3:30) 

Day 5, Fri, Aug 7
Chris Manning: NLP 101 (9:00-10:30) 
Graham Taylor: Modeling human motion, pose estimation and tracking  (11:00-12:30) 
Chris Manning: NLP / Deep Learning (2:00-3:30) 
Theano programming, datasets with Fuel (4:00-5:30)

Day 6, Sat, Aug 8
Ruslan Salakhutdinov: Deep Boltzmann Machines (9:00-10:30) 
Adam Coates: Speech recognition with deep learning (11:00-12:30) 
Ruslan Salakhutdinov: Multi-modal models (2:00-3:30) 

Day 7, Sun, Aug 9
Ian Goodfellow: Structure of optimization problems (9:00-10:30) 
Adam Coates: Systems issues and distributed training (11:00-12:30) 
Ian Goodfellow: Adversarial examples (2:00-3:30) 

Day 8, Mon, Aug 10
Phil Blunsom: From language modeling to machine translation (9:00-10:30) 
Richard Socher: Recurrent neural networks  (11:00-12:30) 
Phil Blunsom: Memory, Reading, and Comprehension (2:00-3:30) 
Theano debugging tools, conv. nets (4:00-5:30)

Day 9, Tue, Aug 11
Richard Socher: DMN for NLP (9:00-10:30) 
Mark Schmidt: Smooth, Finite, and Convex Optimization (11:00-12:30) 
Roland Memisevic: Visual Features II (2:00-3:30)
Theano implementation of iterations (scan), RNNs (4:00-5:30)

Day 10, Wed, Aug 12
Mark Schmidt: Non-Smooth, Non-Finite, and Non-Convex Optimization (9:00-10:30) 
Aaron Courville: VAEs and deep generative models for vision (11:00-12:30) 
Yoshua Bengio: Generative models from auto-encoders (2:00-3:30) 
Theano programming: overflow session (4:00-5:00)
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