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.
1,737 views
Hardware & software update from NVIDIA, Enabling Deep Learning
Alison B Lowndes, NVIDIA
4 July 2016 · 3:20 p.m.
311 views
Day 1 - Questions and Answers
Panel
4 July 2016 · 4:16 p.m.
264 views
Torch 1
Soumith Chintala, Facebook
5 July 2016 · 10:02 a.m.
664 views
Torch 2
Soumith Chintala, Facebook
5 July 2016 · 11:21 a.m.
247 views
Deep Generative Models
Yoshua Bengio, University of Montreal, Canada
5 July 2016 · 1:59 p.m.
1,059 views
Torch 3
Soumith Chintala, Facebook
5 July 2016 · 3:28 p.m.
215 views
Day 2 - Questions and Answers
Panel
5 July 2016 · 4:21 p.m.
117 views
TensorFlow 1
Mihaela Rosca, Google
6 July 2016 · 10 a.m.
1,355 views
TensorFlow 2
Mihaela Rosca, Google
6 July 2016 · 11:19 a.m.
593 views
TensorFlow 3 and Day 3 Questions and Answers session
Mihaela Rosca, Google
6 July 2016 · 3:21 p.m.
592 views