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

Product typeBook
Published inDec 2023
PublisherPackt
ISBN-139781803243795
Edition1st Edition
Concepts
Deep Learning
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Author (1)
Ee Kin Chin
Ee Kin Chin
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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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Exploring deployment decisions based on practical use cases

In this section, we will explore practical deployment decisions for DL models in production, focusing on two distinct use cases: a sentiment analysis application for an e-commerce company and a face detection and recognition system for security cameras. By examining these real-world scenarios, we will gain valuable insights into establishing robust deployment strategies tailored to specific needs and objectives.

Exploring deployment decisions for a sentiment analysis application

Suppose you are developing a sentiment analysis application to be used by an e-commerce company to analyze customer reviews in real-time. The system needs to process a large number of reviews every day, and low latency is essential to provide immediate insights for the company. In this case, your choices could be as follows:

  • Architectural choice: As an independent service, as it would allow better scalability and easier updates to handle...
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The Deep Learning Architect's Handbook
Published in: Dec 2023Publisher: PacktISBN-13: 9781803243795
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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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