TY  - BOOK
AU  - Dürr,Oliver
AU  - Sick,Beate
AU  - Murina,Elvis
TI  - Probabilistic deep learning: with Python, Keras, and TensorFlow Probability 
U1  - 006.31 23
PY  - 2020///
CY  - New York
PB  - Manning Publications Co.
KW  - Machine learning
KW  - Neural networks (Computer science)
KW  - fast
N1  - 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; "For experience machine learning developers"--Page 4 of cover; CSE; ps
N2  - "A hands-on guide to the principles that support neural networks"--
ER  -