Broadcast Date: December 19, 2018

Level: 200

Computer vision deals with how computers can be trained to gain a high-level understanding from digital images or videos. The history of computer vision dates back to the 1960’s, but recent advancements in processing technology have enabled applications such as navigation of autonomous vehicles. This tech talk will review the different steps required to build, train, and deploy a machine learning model for computer vision. We will compare and contrast the training of computer vision models using different Amazon EC2 instances and highlight how significant time savings can be achieved by using Amazon EC2 P3 instances.

Learning Objectives

  • Learn what computer vision is
  • Learn the history of computer vision
  • Learn how to create and deploy a computer vision model

Who Should Attend?

Machine Learning Engineers, Data Scientists, Researchers

Speakers

  • Wen-ming Ye, Sr. Solutions Architect, AWS


Learn More

To learn more about the services featured in this talk, please visit:
https://aws.amazon.com/ec2/instance-types/p3/



Intro body copy here about 2018 re:Invent launches.

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Compute

Service How To

December 19th, 2018 | 1:00 PM PT

Developing Deep Learning Models for Computer Vision with
Amazon EC2 P3 Instances.

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Containers

What's New / Cloud Innovation

December 11th, 2018 | 1:00 PM PT

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Data Lakes & Analytics

Webinar 1:

What's New / Cloud Innovation

December 10th, 2018 | 11:00 AM PT

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Webinar 2:

What's New / Cloud Innovation

December 12th, 2018 | 11:00 AM PT

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