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-to-apply code and uses popular frameworks to keep you focused on practical applications.
| Author: | Oliver DürrORCiDGND, Beate SickORCiDGND |
|---|---|
| ISBN: | 978-1-61729-607-9 |
| Publisher: | Manning Publications Company |
| Place of publication: | Shelter Island, NY |
| Other Person(s): | Elvis Murina |
| Document Type: | Book |
| Language: | English |
| Year of Publication: | 2020 |
| Release Date: | 2021/01/18 |
| Page Number: | xviii, 274 |
| Institutes: | Institut für Optische Systeme - IOS |
| DDC functional group: | 500 Naturwissenschaften und Mathematik |
| Open Access?: | Nein |
