Information Bottleneck: Theory and Applications in Deep Learning - Couverture rigide

 
9783036508023: Information Bottleneck: Theory and Applications in Deep Learning
Couverture rigide
ISBN 10 : 3036508023 ISBN 13 : 9783036508023
Editeur : Mdpi AG, 2021

Synopsis

The celebrated information bottleneck (IB) principle of Tishby et al. has recently enjoyed renewed attention due to its application in the area of deep learning. This collection investigates the IB principle in this new context. The individual chapters in this collection: - provide novel insights into the functional properties of the IB; - discuss the IB principle (and its derivates) as an objective for training multi-layer machine learning structures such as neural networks and decision trees; and - offer a new perspective on neural network learning via the lens of the IB framework. Our collection thus contributes to a better understanding of the IB principle specifically for deep learning and, more generally, of information-theoretic cost functions in machine learning. This paves the way toward explainable artificial intelligence.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Mdpi AG
Date d'édition
2021
Langue
anglais
ISBN 10 
3036508023
ISBN 13 
9783036508023
Reliure
Relié
Nombre de pages
274
Éditeur
Geiger Bernhard C, Kubin Gernot
Coordonnées du fabricant
non disponible
Personne responsable
non disponible