Yanan Sun

(Author)

Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances (2023)Hardcover - 2023, 9 November 2022

Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances (2023)
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Part of Series
Studies in Computational Intelligence
Print Length
331 pages
Language
English
Publisher
Springer
Date Published
9 Nov 2022
ISBN-10
3031168674
ISBN-13
9783031168673

Description

This book systematically narrates the fundamentals, methods, and recent advances of evolutionary deep neural architecture search chapter by chapter. This will provide the target readers with sufficient details learning from scratch. In particular, the method parts are devoted to the architecture search of unsupervised and supervised deep neural networks. The people, who would like to use deep neural networks but have no/limited expertise in manually designing the optimal deep architectures, will be the main audience. This may include the researchers who focus on developing novel evolutionary deep architecture search methods for general tasks, the students who would like to study the knowledge related to evolutionary deep neural architecture search and perform related research in the future, and the practitioners from the fields of computer vision, natural language processing, and others where the deep neural networks have been successfully and largely used in their respective fields.

Product Details

Authors:
Yanan SunGary G YenMengjie Zhang
Book Edition:
2023
Book Format:
Hardcover
Country of Origin:
NL
Date Published:
9 November 2022
Dimensions:
23.39 x 15.6 x 2.06 cm
ISBN-10:
3031168674
ISBN-13:
9783031168673
Language:
English
Location:
Cham
Pages:
331
Publisher:
Weight:
662.24 gm

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