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Interpretability in Deep Learning

Name: Interpretability in Deep Learning
Brand: Springer, Berlin
SKU: 9783031206382
Price: 884.05 RON
Availability: InStock

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

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Legare: Copertă tare

Editura: Springer, Berlin

Disponibilitate: În depozitul extern

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

Informații despre carte

Autor

Ayush Somani, Alexander Horsch, Dilip K. Prasad

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2023

Pagini

463

EAN

9783031206382

Enbook ID

41620668

Editura

Springer, Berlin

Greutate

948

Dimensiuni

155 x 235

Descriere completă

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.