The objective of this workshop is to present the current available software and hardware solutions for deep machine learning. We will focus on the two main industrial frameworks for the task: Facebook's Torch and Google's TensorFlow, and will discuss the general principles of deep learning, best practices, "under the hood" mechanisms, and the existing hardware solutions to deal with the specific computational requirements of these methods.

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Deep Supervised Learning of Representations
Yoshua Bengio, University of Montreal, Canada
4 July 2016 · 2:01 p.m.
1,780 views
Hardware & software update from NVIDIA, Enabling Deep Learning
Alison B Lowndes, NVIDIA
4 July 2016 · 3:20 p.m.
321 views
Day 1 - Questions and Answers
Panel
4 July 2016 · 4:16 p.m.
267 views
Torch 1
Soumith Chintala, Facebook
5 July 2016 · 10:02 a.m.
671 views
Torch 2
Soumith Chintala, Facebook
5 July 2016 · 11:21 a.m.
250 views
Deep Generative Models
Yoshua Bengio, University of Montreal, Canada
5 July 2016 · 1:59 p.m.
1,423 views
Torch 3
Soumith Chintala, Facebook
5 July 2016 · 3:28 p.m.
217 views
Day 2 - Questions and Answers
Panel
5 July 2016 · 4:21 p.m.
120 views
TensorFlow 1
Mihaela Rosca, Google
6 July 2016 · 10 a.m.
1,745 views
TensorFlow 2
Mihaela Rosca, Google
6 July 2016 · 11:19 a.m.
1,064 views
TensorFlow 3 and Day 3 Questions and Answers session
Mihaela Rosca, Google
6 July 2016 · 3:21 p.m.
1,301 views