Probabilistic deep learning : with Python, Keras, and TensorFlow Probability /

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...

Full description

Bibliographic Details
Main Authors: Dürr, Oliver (College teacher) (Author), Sick, Beate (Author), Murina, Elvis (Author)
Format: eBook
Language:Inglés
Published: Shelter Island, New York : Manning Publications, [2020]
Subjects:
Machine learning.
Neural networks (Computer science)
Apprentissage automatique.
Réseaux neuronaux (Informatique)
Machine learning
Online Access:Texto completo (Requiere registro previo con correo institucional)
Description
Summary: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.
Item Description:"Exercises in Jupyter Notebooks"--Cover
Physical Description:1 online resource
ISBN:9781638350408
163835040X
1617296074
9781617296079

Similar Items