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Deep Neural Evolution: Deep Learning with Evolutionary Computation
Paperback
Series: Natural Computing
General ComputersGeneral MathematicsProbability & Statistics
ISBN13: 9789811536878
Publisher: Springer
Published: May 22 2021
Pages: 438
Weight: 1.38
Height: 0.91 Width: 6.14 Depth: 9.21
Language: English
This book delivers the state of the art in deep learning (DL) methods hybridized with evolutionary computation (EC). Over the last decade, DL has dramatically reformed many domains: computer vision, speech recognition, healthcare, and automatic game playing, to mention only a few. All DL models, using different architectures and algorithms, utilize multiple processing layers for extracting a hierarchy of abstractions of data. Their remarkable successes notwithstanding, these powerful models are facing many challenges, and this book presents the collaborative efforts by researchers in EC to solve some of the problems in DL.
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