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Interpretability in Deep Learning

Name: Interpretability in Deep Learning
Brand: Springer, Berlin
SKU: 9783031206382
Price: 3654 CZK
Availability: InStock

Autor: Ayush Somani, Alexander Horsch, Dilip K. Prasad

Jazyk:

Vazba: Pevná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

Odesíláme za 10-13 dnů

3 654 Kč

This book is a comprehensive curation, exposition and illustrative discussion of recent research too...

Informace o knize

Autor

Ayush Somani, Alexander Horsch, Dilip K. Prasad

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2023

Stránek

463

EAN

9783031206382

Enbook ID

41620668

Vydavatel

Springer, Berlin

Hmotnost

948

Rozměry

155 x 235

Kompletní popis

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.