TY  - BOOK
U1  - Buch
A1  - Dürr, Oliver
A1  - Sick, Beate
T1  - Probabilistic Deep Learning
BT  - With Python, Keras and TensorFlow Probability
N2  - Probabilistic Deep Learning is a hands-on guide to the principles that support neural networks. Learn to improve network performance with the right distribution for different data types, and discover Bayesian variants that can state their own uncertainty to increase accuracy. This book provides easy-to-apply code and uses popular frameworks to keep you focused on practical applications.
Y1  - 2020
SN  - 978-1-61729-607-9
SB  - 978-1-61729-607-9
SP  - xviii, 274
S1  - xviii, 274
PB  - Manning Publications Company
CY  - Shelter Island, NY
ER  -