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Probabilistic Deep Learning : With Python, Keras and TensorFlow Probability

  • Probabilistic Deep Learning is a hands-on guide to the principles that support neural networks. Learn to improve network performance with the right distribution for different data types, and discover Bayesian variants that can state their own uncertainty to increase accuracy. This book provides easy-to-apply code and uses popular frameworks to keep you focused on practical applications.

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Metadaten
Author:Oliver DürrGND, Beate SickGND
ISBN:978-1-61729-607-9
Publisher:Manning Publications Company
Place of publication:Shelter Island, NY
Other Person(s):Elvis Murina
Document Type:Book
Language:English
Year of Publication:2020
Release Date:2021/01/18
Page Number:xviii, 274
Institutes:Institut für Optische Systeme - IOS
DDC functional group:500 Naturwissenschaften und Mathematik
Relevance:Andere wissenschaftliche Veröffentlichungen (Bücher, Herausgeberschaft, Kommentare zu Gesetzestexten u.a.)
Open Access?:Nein