Elvis Murina

Oliver Dürr is professor for data science at the University of Applied Sciences in Konstanz, Germany. Beate Sick holds a chair for applied statistics at ZHAW, and works as a researcher and lecturer at the University of Zurich, and as a lecturer at ETH Zurich. Elvis Murina is a research scientist, responsible for the extensive exercises that accompany this book.

books by Elvis Murina

Probabilistic Deep Learning
  • October 2020
  • ISBN 9781617296079
  • 296 pages
Included with a Manning Online subscription
  • printed in black & white
catalog / Data Science / Deep Learning / Probabilistic Deep Learning
resources: Source code Errata Book Forum Source Code Article: Neural Network Architectures Slideshare: A New Approach to Deep Learning Article: Deep Learning for Image-Like Data Source code on GitHub Register your pBook for a free eBook

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.