Interpretability in Deep Learning - cover

Interpretability in Deep Learning

Ayush Somani

  • 01 mei 2023
  • 9783031206382
Wil ik lezen
  • Wil ik lezen
  • Aan het lezen
  • Gelezen
  • Verwijderen

Samenvatting:

This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures.



This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures. In addition, it includes several case studies from application-oriented articles in the fields of computer vision, optics and machine learning related topic.

The book can be used as a monograph on interpretability in deep learning covering the most recent topics as well as a textbook for graduate students. Scientists with research, development and application responsibilities benefit from its systematic exposition.



We gebruiken cookies om er zeker van te zijn dat je onze website zo goed mogelijk beleeft. Als je deze website blijft gebruiken gaan we ervan uit dat je dat goed vindt. Ok