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(Ebook) Interpretability in Deep Learning by Ayush Somani, Alexander Horsch, Dilip K. Prasad ISBN 9783031206382, 9783031206399, 303120638X, 3031206398

  • SKU: EBN-49862096
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Instant download (eBook) Interpretability in Deep Learning after payment.
Authors:Ayush Somani, Alexander Horsch, Dilip K. Prasad
Pages:483 pages.
Year:2023
Editon:1
Publisher:Springer
Language:english
File Size:12.12 MB
Format:pdf
ISBNS:9783031206382, 9783031206399, 303120638X, 3031206398
Categories: Ebooks

Product desciption

(Ebook) Interpretability in Deep Learning by Ayush Somani, Alexander Horsch, Dilip K. Prasad ISBN 9783031206382, 9783031206399, 303120638X, 3031206398

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.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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