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You're reading from  Enhancing Deep Learning with Bayesian Inference

Product typeBook
Published inJun 2023
PublisherPackt
ISBN-139781803246888
Edition1st Edition
Concepts
Deep Learning
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Authors (3):
Matt Benatan
Matt Benatan
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Matt Benatan

Matt Benatan is a Principal Research Scientist at Sonos and a Simon Industrial Fellow at the University of Manchester. His work involves research in robust multimodal machine learning, uncertainty estimation, Bayesian optimization, and scalable Bayesian inference.
Read more about Matt Benatan

Jochem Gietema
Jochem Gietema
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Jochem Gietema

Jochem Gietema is an Applied Scientist at Onfido in London where he has developed and deployed several patented solutions related to anomaly detection, computer vision, and interactive data visualisation.
Read more about Jochem Gietema

Marian Schneider
Marian Schneider
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Marian Schneider

Marian Schneider is an applied scientist in machine learning. His work involves developing and deploying applications in computer vision, ranging from brain image segmentation and uncertainty estimation to smarter image capture on mobile devices.
Read more about Marian Schneider

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Enhancing Deep Learning with Bayesian Inference
Published in: Jun 2023Publisher: PacktISBN-13: 9781803246888
© 2023 Packt Publishing Limited All Rights Reserved

Authors (3)

author image
Matt Benatan

Matt Benatan is a Principal Research Scientist at Sonos and a Simon Industrial Fellow at the University of Manchester. His work involves research in robust multimodal machine learning, uncertainty estimation, Bayesian optimization, and scalable Bayesian inference.
Read more about Matt Benatan

author image
Jochem Gietema

Jochem Gietema is an Applied Scientist at Onfido in London where he has developed and deployed several patented solutions related to anomaly detection, computer vision, and interactive data visualisation.
Read more about Jochem Gietema

author image
Marian Schneider

Marian Schneider is an applied scientist in machine learning. His work involves developing and deploying applications in computer vision, ranging from brain image segmentation and uncertainty estimation to smarter image capture on mobile devices.
Read more about Marian Schneider

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