01845nam\a2200349\a\4500 57811 20260602155154.0 260602t20202020nyua 001 0 eng d paperback 9781617296079 paperback YDX eng YDX rda OCLCQ JBL OCLCF OCLCO YDXIT TOH QGQ BD-DhIUB 006.31 23 D9651p Dürr, Oliver, author. 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. CSE ps REF Omni concept Machine learning. Neural networks (Computer science) Machine learning. fast Neural networks (Computer science) fast Sick, Beate, author. Murina, Elvis, author. ddc BK 57811 57985 0 0 ddc 0 1 IUBL IUBL REF 2026-05-07 PURCHASE 5683.00 2020 0 006.31 D9651p 029673 2026-06-02 15:54:03 01 11366.00 2026-05-07 BK 0 0 ddc 0 1 IUBL IUBL REF 2026-05-07 PURCHASE 5683.00 2020 0 006.31 D9651p 029674 2026-06-02 15:54:00 02 11366.00 2026-05-07 BK