TY  - BOOK
AU  - Dürr,Oliver
AU  - Sick,Beate
AU  - Murina,Elvis
TI  - Probabilistic deep learning: with Python, Keras, and TensorFlow Probability 
SN  - 1617296074
U1  - 006.31 23
PY  - 2020///]
CY  - Shelter Island [New York]
PB  - Manning
KW  - APRENDIZAJE AUTOMATICO
KW  - REDES NEURONALES (ciencia de la computación)
N1  - "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; COBERTURA BIBLIOGRAFICA: 
INF473 
Asignatura : Introducción a la inteligencia artificial explicable
N2  - "A hands-on guide to the principles that support neural networks"--Page 4 of cover
UR  - https://bibliotecadigital.usm.cl/info/01609347
ER  -