You're reading from The Deep Learning Architect's Handbook

Product typeBook

Published inDec 2023

PublisherPackt

ISBN-139781803243795

Edition1st Edition

Concepts

Deep Learning

Author (1)

Ee Kin Chin

Choosing the right DL model deployment options

Selecting the right deployment options for your DL model is a crucial step in ensuring optimal performance, scalability, and cost-effectiveness. To assist you in making an informed decision, we will explore recommended options based on different requirements. These recommendations encompass various aspects, such as hardware and physical infrastructure, monitoring and logging components, and deployment strategies. By carefully evaluating your model’s characteristics, resource constraints, and desired outcomes, you should be able to identify the most suitable deployment solution that aligns with your objectives while maximizing efficiency and return on investment through this guide. The tangible deployment components we will explore here are architectural decisions, computing hardware, model packaging and frameworks, communication protocols, and user interfaces. Let’s dive into each component one by one, starting with architectural...

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The Deep Learning Architect's Handbook

Published in: Dec 2023Publisher: PacktISBN-13: 9781803243795

Author (1)

Ee Kin Chin

Ee Kin Chin is a Senior Deep Learning Engineer at DataRobot. He holds a Bachelor of Engineering (Honours) in Electronics with a major in Telecommunications. Ee Kin is an expert in the field of Deep Learning, Data Science, Machine Learning, Artificial Intelligence, Supervised Learning, Unsupervised Learning, Python, Keras, Pytorch, and related technologies. He has a proven track record of delivering successful projects in these areas and is dedicated to staying up to date with the latest advancements in the field.
Read more about Ee Kin Chin

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You're reading from The Deep Learning Architect's Handbook

Choosing the right DL model deployment options

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Author (1)

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