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 Juli 2016 · 2:01 nachm.
1.581 views
Hardware & software update from NVIDIA, Enabling Deep Learning
Alison B Lowndes, NVIDIA
4 Juli 2016 · 3:20 nachm.
296 views
Day 1 - Questions and Answers
Panel
4 Juli 2016 · 4:16 nachm.
242 views
Torch 1
Soumith Chintala, Facebook
5 Juli 2016 · 10:02 vorm.
610 views
Torch 2
Soumith Chintala, Facebook
5 Juli 2016 · 11:21 vorm.
218 views
Deep Generative Models
Yoshua Bengio, University of Montreal, Canada
5 Juli 2016 · 1:59 nachm.
928 views
Torch 3
Soumith Chintala, Facebook
5 Juli 2016 · 3:28 nachm.
191 views
Day 2 - Questions and Answers
Panel
5 Juli 2016 · 4:21 nachm.
TensorFlow 1
Mihaela Rosca, Google
6 Juli 2016 · 10 vorm.
1.198 views
TensorFlow 2
Mihaela Rosca, Google
6 Juli 2016 · 11:19 vorm.
513 views
TensorFlow 3 and Day 3 Questions and Answers session
Mihaela Rosca, Google
6 Juli 2016 · 3:21 nachm.
396 views