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Evolutionary Approach to Machine Learning and Deep Neural Networks

Neuro-Evolution and Gene Regulatory Networks

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Pages
260 pages
Reading time
10 hours

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Focusing on the integration of evolutionary algorithms with various machine learning and deep learning techniques, this book explores advanced methodologies for optimization. It covers essential concepts and interdisciplinary research, including convolutional neural networks, transfer learning, and clustering techniques. Designed for a wide range of readers—from novices to experts—it provides both theoretical insights and practical applications, making it a valuable resource for those interested in enhancing their understanding of algorithm-based search strategies.

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Evolutionary Approach to Machine Learning and Deep Neural Networks, Hitoshi Iba

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Released
2018
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(Hardcover)
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