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You're reading from  Machine Learning Engineering on AWS

Product typeBook
Published inOct 2022
PublisherPackt
ISBN-139781803247595
Edition1st Edition
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Author (1)
Joshua Arvin Lat
Joshua Arvin Lat
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Joshua Arvin Lat

Joshua Arvin Lat is the Chief Technology Officer (CTO) of NuWorks Interactive Labs, Inc. He previously served as the CTO for three Australian-owned companies and as director of software development and engineering for multiple e-commerce start-ups in the past. Years ago, he and his team won first place in a global cybersecurity competition with their published research paper. He is also an AWS Machine Learning Hero and has shared his knowledge at several international conferences, discussing practical strategies on machine learning, engineering, security, and management.
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Summary

In this chapter, we were able to take a closer look at AWS Deep Learning Containers (DLCs). Similar to AWS Deep Learning AMIs (DLAMIs), AWS DLCs already have the relevant ML frameworks, libraries, and packages installed. This significantly speeds up the process of building and deploying deep learning models. At the same time, container environments are guaranteed to be consistent since these are run from pre-built container images.

One of the key differences between DLAMIs and DLCs is that multiple AWS DLCs can run inside a single EC2 instance. These containers can also be used in other AWS services that support containers. These services include AWS Lambda, Amazon ECS, Amazon EKS, and Amazon EC2, to name a few.

In this chapter, we were able to train a deep learning model using a DLC. We then deployed this model to an AWS Lambda function through Lambda’s container image support. After that, we tested the Lambda function to see whether it’s able to successfully...

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Machine Learning Engineering on AWS
Published in: Oct 2022Publisher: PacktISBN-13: 9781803247595

Author (1)

author image
Joshua Arvin Lat

Joshua Arvin Lat is the Chief Technology Officer (CTO) of NuWorks Interactive Labs, Inc. He previously served as the CTO for three Australian-owned companies and as director of software development and engineering for multiple e-commerce start-ups in the past. Years ago, he and his team won first place in a global cybersecurity competition with their published research paper. He is also an AWS Machine Learning Hero and has shared his knowledge at several international conferences, discussing practical strategies on machine learning, engineering, security, and management.
Read more about Joshua Arvin Lat