Probabilistic deep learning : with Python, Keras, and TensorFlow Probability /

Dürr, Oliver,

Probabilistic deep learning : with Python, Keras, and TensorFlow Probability / Oliver Dürr, Beate Sick ; with Elvis Murina. - New York: Manning Publications Co. 2020 - xviii, 274 pages : illustrations ; 24 cm

Includes index. "Exercises in Jupyter Notebooks"--Page 1 of cover.

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.

"A hands-on guide to the principles that support neural networks"--

"For experience machine learning developers"--Page 4 of cover.



9781617296079


Machine learning.
Neural networks (Computer science)
Machine learning.
Neural networks (Computer science)

006.31 / D9651p