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Books > Computing & IT > Applications of computing > Image processing

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Interpretability in Deep Learning (Hardcover, 1st ed. 2023) Loot Price: R3,661
Discovery Miles 36 610
Repayment Terms: R343 pm x 12*
You Save: R335 (8%)
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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 R3,996 Loot Price R3,661 Discovery Miles 36 610 | Repayment Terms: R343 pm x 12* You Save R335 (8%)

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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
LSN: 3-03-120638-X
Barcode: 9783031206382

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