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Author Dürr, Oliver (Professor)

Title Probabilistic deep learning : with Python, Keras, and TensorFlow Probability / Oliver Dürr, Beate Sick ; with Elvis Murina.

Publication Info. Shelter Island, NY : Manning, [2020]
©2020
Bookmark link: https://library.naperville-lib.org:444/record=b2027296~S1
Location Call No. Status
 Naper Blvd. Adult Nonfiction  005.133 PYT 2020    AVAILABLE
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Description [xviii, 274 pages : illustrations ; 24 cm]
Note "Exercises in Jupyter Notebooks"-- cover.
Contents Part 1, Basics of deep learning. Introduction to probabilistic deep learning ; Neural network architectures ; Principles of curve fitting -- Part 2, Maximum likelihood approaches for probabilistic DL models. Building loss functions with the likelihood approach ; Probabilistic deep learning models with TensorFlow Probability ; Probabilistic deep learning models in the wild -- Part 3, Bayesian approaches for probabilistic DL models. Bayesian learning ; Bayesian neural networks.
Audience "For experience machine learning developers"--back cover.
Summary "A hands-on guide to the principles that support neural networks"--back cover.
Subject Machine learning.
Neural networks (Computer science)
Added Author Sick, Beate.
Murina, Elvis.
ISBN 9781617296079 (paperback)
1617296074 (paperback)
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