Overview

The 11th Global Deep Learning Summit took place in Singapore on April 27-28 2017. Speakers included: Anuroop Sriram, Research Scientist at Baidu Silicon Valley AI Lab; Jeffrey De Fauw, Research Engineer at DeepMind; and Jun Yang, Algorithm Architect at Alibaba.

Topics explored included: Investments in AI; Deep Learning Frameworks; Deep Learning Infrastructure; and Deep Learning for Self-Driving Cars.

Featured Presentations

Watch our featured videos below for free. Scroll down to view the full library of presentations from the event and to purchase access to all the recorded sessions.

Deploying Deep Learning with Edge Computing

Annabelle Kwok, Founder & CEO at SmartCow

When it comes to deployment of Deep Learning for industrial applications, clients are looking for a secure and reliable option to perform analytics on confidential information. Edge computing is an emerging paradigm which uses local computing to enable analytics at the source of your data. With the full ability to...

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Security and Privacy in Machine Learning

Nicolas Papernot, Google PhD Fellow in Security at Penn State University

There is growing recognition that machine learning exposes new security and privacy issues in software systems. In this talk, we first expose the attack surface of systems deploying machine learning. We then describe how an attacker may force models to make wrong predictions with very little information about the victim....

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Adversarial Component Analysis

Brian Cheung, PhD Student/ Google Brain Intern at UC Berkeley/ Google

Brian's latest work on adversarial component analysis uses adversarial learning, autoencoders and domain adaptation to prevent overfitting in training deep learning models.

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Deep Learning Summit, Singapore 2017

7+

Hours of content

28

Speakers

2

Interviews

Overview

Featured Presentations

Full Presentation Library

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