Lecture 1
Introduction to Deep Learning and Neural Networks
Lecture 2
Learning with neural networks
Lecture 3
Deeper into Deep Learning
and Optimizations
Lecture 4
Convolutional Neural Networks
for Computer Vision
Lecture 5
Understanding ConvNets
and Knowledge Transfer
Lecture 6
Structured Prediction
with Convnets
Lecture 7
Language Models and
Word Embeddings
Lecture 8
Recurrent Neural Networks
Lecture 9
Unsupervised, Generative
and Adversarial Networks
Lecture 10
Invited talks by T. Kipf
R. Tao, Z. Li, P. Putzky
Lecture 11
Memory Networks for
Language Understanding
Lecture 13
Student presentations
Day 2
Lecture 14
Student presentations
Day 3
Lecture 15
SURF SARA Tutorial,
HPC Deep Learning