Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances

Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances

Sun, Yanan
Yen, Gary G.
Zhang, Mengjie

Hardcover

Series: Studies in Computational Intelligence, Book 1070

Technology & EngineeringGeneral Computers

ISBN10: 3031168674
ISBN13: 9783031168673
Publisher: Springer Nature
Published: Nov 9 2022
Pages: 331
Weight: 1.46
Height: 0.81 Width: 6.14 Depth: 9.21
Language: English

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.

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