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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 evolutionary algorithms, this book presents a comprehensive methodology that integrates various machine learning and deep learning techniques, such as convolutional neural networks and transfer learning. It explores optimization strategies through interdisciplinary research, making it suitable for readers at all levels of expertise. The content is designed to enhance understanding and application of these advanced tools, providing both theoretical insights and practical knowledge for diverse audiences interested in machine learning and optimization methodologies.

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

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Released
2019
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