Vista normal Vista MARC Vista ISBD

Dürr, Oliver

Probabilistic deep learning : with Python, Keras, and TensorFlow Probability / Oliver Dürr, Beate Sick ; with Elvis Murina. - xviii, 274 páginas : ilustraciones

"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"--Page 4 of cover.

COBERTURA BIBLIOGRAFICA:
INF473
Asignatura : Introducción a la inteligencia artificial explicable

ISBN: 1617296074 9781617296079

Subjects--Topical Terms:
APRENDIZAJE AUTOMATICO
REDES NEURONALES (ciencia de la computación)

Dewey Class. No.: 006.31 / D793