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.
1,620 views
Hardware & software update from NVIDIA, Enabling Deep Learning
Alison B Lowndes, NVIDIA
4 July 2016 · 3:20 p.m.
305 views
Day 1 - Questions and Answers
Panel
4 July 2016 · 4:16 p.m.
253 views
Torch 1
Soumith Chintala, Facebook
5 July 2016 · 10:02 a.m.
632 views
Torch 2
Soumith Chintala, Facebook
5 July 2016 · 11:21 a.m.
228 views
Deep Generative Models
Yoshua Bengio, University of Montreal, Canada
5 July 2016 · 1:59 p.m.
960 views
Torch 3
Soumith Chintala, Facebook
5 July 2016 · 3:28 p.m.
202 views
Day 2 - Questions and Answers
Panel
5 July 2016 · 4:21 p.m.
113 views
TensorFlow 1
Mihaela Rosca, Google
6 July 2016 · 10 a.m.
1,220 views
TensorFlow 2
Mihaela Rosca, Google
6 July 2016 · 11:19 a.m.
528 views
TensorFlow 3 and Day 3 Questions and Answers session
Mihaela Rosca, Google
6 July 2016 · 3:21 p.m.
417 views