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Interpretability in Deep Learning (Hardcover, 1st ed. 2023) Loot Price: R3,841
Discovery Miles 38 410
You Save: R236 (6%)
Interpretability in Deep Learning (Hardcover, 1st ed. 2023): Ayush Somani, Alexander Horsch, Dilip K. Prasad

Interpretability in Deep Learning (Hardcover, 1st ed. 2023)

Ayush Somani, Alexander Horsch, Dilip K. Prasad

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List price R4,077 Loot Price R3,841 Discovery Miles 38 410 | Repayment Terms: R360 pm x 12* You Save R236 (6%)

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: February 2023
First published: 2023
Authors: Ayush Somani • Alexander Horsch • Dilip K. Prasad
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 463
Edition: 1st ed. 2023
ISBN-13: 978-3-03-120638-2
Categories: Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Business & Economics > Business & management > Management of specific areas > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Computing & IT > Applications of computing > Image processing > General
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LSN: 3-03-120638-X
Barcode: 9783031206382

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