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Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Distributed deep learning on AWS using Apache MXNet

Anima Anandkumar (UC Irvine)
12:0512:45 Wednesday, 24 May 2017
Data science and advanced analytics
Location: Hall S21/23 (A)
Secondary topics:  Cloud
Average rating: ****.
(4.00, 2 ratings)

What you'll learn

  • Understand how to perform large-scale machine learning on AWS

Description

Deep learning is the state of the art in domains such as computer vision and natural language understanding. Apache MXNet is a highly flexible and developer-friendly deep learning framework designed for both efficiency and flexibility. The library is portable and lightweight, and it is suitable for deployment in everything from multiple GPUs and multiple machines to embedded systems such as smartphones and embedded GPUs.

Anima Anandkumar demonstrates how to use preconfigured Deep Learning AMIs and CloudFormation templates on AWS to help speed up deep learning development and shares use cases in computer vision and natural language processing.

Photo of Anima Anandkumar

Anima Anandkumar

UC Irvine

Anima Anandkumar is a principal scientist at Amazon Web Services. Anima is currently on leave from UC Irvine, where she is an associate professor. Her research interests are in the areas of large-scale machine learning, nonconvex optimization, and high-dimensional statistics. In particular, she has been spearheading the development and analysis of tensor algorithms. Previously, she was a postdoctoral researcher at MIT and a visiting researcher at Microsoft Research New England. Anima is the recipient of several awards, including the Alfred. P. Sloan fellowship, the Microsoft faculty fellowship, the Google research award, the ARO and AFOSR Young Investigator awards, the NSF CAREER Award, the Early Career Excellence in Research Award at UCI, the Best Thesis Award from the ACM SIGMETRICS society, the IBM Fran Allen PhD fellowship, and several best paper awards. She has been featured in a number of forums, such as the Quora ML session, Huffington Post, Forbes, and O’Reilly Media. Anima holds a BTech in electrical engineering from IIT Madras and a PhD from Cornell University.

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Comments

Andrei Bâcu | DATA ARCHITECT
18/07/2017 12:30 BST

Hi Anima,

Great session! Could you please post the slides and resources used.

Cheers,
Andrei