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
July 4, 2016 · 2:01 p.m.
2362 views
Hardware & software update from NVIDIA, Enabling Deep Learning
Alison B Lowndes, NVIDIA
July 4, 2016 · 3:20 p.m.
426 views
Day 1 - Questions and Answers
Panel
July 4, 2016 · 4:16 p.m.
328 views
Torch 1
Soumith Chintala, Facebook
July 5, 2016 · 10:02 a.m.
814 views
Torch 2
Soumith Chintala, Facebook
July 5, 2016 · 11:21 a.m.
342 views
Deep Generative Models
Yoshua Bengio, University of Montreal, Canada
July 5, 2016 · 1:59 p.m.
2155 views
Torch 3
Soumith Chintala, Facebook
July 5, 2016 · 3:28 p.m.
274 views
Day 2 - Questions and Answers
Panel
July 5, 2016 · 4:21 p.m.
151 views
TensorFlow 1
Mihaela Rosca, Google
July 6, 2016 · 10 a.m.
2655 views
TensorFlow 2
Mihaela Rosca, Google
July 6, 2016 · 11:19 a.m.
1703 views
TensorFlow 3 and Day 3 Questions and Answers session
Mihaela Rosca, Google
July 6, 2016 · 3:21 p.m.
2248 views