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You're reading from  Practical Deep Learning at Scale with MLflow

Product typeBook
Published inJul 2022
PublisherPackt
ISBN-139781803241333
Edition1st Edition
Concepts
Deep Learning
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Author (1)
Yong Liu
Yong Liu
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Yong Liu

Yong Liu has been working in big data science, machine learning, and optimization since his doctoral student years at the University of Illinois at Urbana-Champaign (UIUC) and later as a senior research scientist and principal investigator at the National Center for Supercomputing Applications (NCSA), where he led data science R&D projects funded by the National Science Foundation and Microsoft Research. He then joined Microsoft and AI/ML start-ups in the industry. He has shipped ML and DL models to production and has been a speaker at the Spark/Data+AI summit and NLP summit. He has recently published peer-reviewed papers on deep learning, linked data, and knowledge-infused learning at various ACM/IEEE conferences and journals.
Read more about Yong Liu

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Deploying to AWS SageMaker – a complete end-to-end guide

AWS SageMaker has a cloud-hosted model service managed by AWS. We will use AWS SageMaker as an example to show you how to deploy to a remote cloud provider for hosted web services that can serve real production traffic. AWS SageMaker has a suite of ML/DL-related services including supporting annotation and model training and many more. Here, we show how to bring your own model (BYOM) for deployment. This means that you have a model inference pipeline trained outside of AWS SageMaker, and now just need to deploy to SageMaker for hosting. Follow the next steps to prepare and deploy a DL sentiment model. A few prerequisites are required:

  • You must have Docker Desktop running in your local environment.
  • You must have an AWS account. You can create a free AWS account easily through the free signup website at https://aws.amazon.com/free/.

Once you have these requirements , activate the dl-model-chapter08 conda...

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Practical Deep Learning at Scale with MLflow
Published in: Jul 2022Publisher: PacktISBN-13: 9781803241333
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Yong Liu

Yong Liu has been working in big data science, machine learning, and optimization since his doctoral student years at the University of Illinois at Urbana-Champaign (UIUC) and later as a senior research scientist and principal investigator at the National Center for Supercomputing Applications (NCSA), where he led data science R&D projects funded by the National Science Foundation and Microsoft Research. He then joined Microsoft and AI/ML start-ups in the industry. He has shipped ML and DL models to production and has been a speaker at the Spark/Data+AI summit and NLP summit. He has recently published peer-reviewed papers on deep learning, linked data, and knowledge-infused learning at various ACM/IEEE conferences and journals.
Read more about Yong Liu

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