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Various Deep Learning Algorithms in Computational Intelligence
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Various Deep Learning Algorithms in Computational Intelligence
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Various Deep Learning Algorithms in Computational Intelligence
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Computational Methods for Deep Learning - Theoretic, Practice and Applications : Theory, Algorithms, and Implementations
Book 80 of 83: Texts in Computer ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Computational Methods for Deep Learning: Theory, Algorithms, and Implementations (Texts in Computer Science)
Book 80 of 83: Texts in Computer ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Computational Methods for Deep Learning - Theoretic, Practice and Applications : Theory, Algorithms, and Implementations
Book 80 of 83: Texts in Computer ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems (Hybrid Computational Intelligence for Pattern Analysis and Understanding)
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Computational Methods for Deep Learning - Theoretic, Practice and Applications: Theory, Algorithms, and Implementations
Book 80 of 83: Texts in Computer ScienceLanguage: English
Published by Springer-Nature New York Inc, 2023
ISBN 10: 9819948223 ISBN 13: 9789819948222
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Add to basketHardcover. Condition: Brand New. 2nd edition. 242 pages. 9.25x6.10x9.21 inches. In Stock.
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Computational Methods for Deep Learning : Theory, Algorithms, and Implementations
Book 80 of 83: Texts in Computer ScienceLanguage: English
Published by Springer Nature Singapore, 2023
ISBN 10: 9819948223 ISBN 13: 9789819948222
Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this book. The second edition of this textbook presents control theory, transformer models, and graph neural networks (GNN) in deep learning. We have incorporated the latest algorithmic advances and large-scale deep learning models, such as GPTs, to align with the current research trends. Through the second edition, this book showcases how computational methods in deep learning serve as a dynamic driving force in this era of artificial intelligence (AI). This book is intended for research students, engineers, as well as computer scientists with interest in computational methods in deep learning. Furthermore, it is also well-suited for researchers exploring topics such as machine intelligence, robotic control, and related areas.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this book.The second edition of this textbook presents control theory, transformer models, and graph neural networks (GNN) in deep learning. We have incorporated the latest algorithmic advances and large-scale deep learning models, such as GPTs, to align with the current research trends. Through the second edition, this book showcases how computational methods in deep learning serve as a dynamic driving force in this era of artificial intelligence (AI). This book is intended for research students, engineers, as well as computer scientists with interest in computational methods in deep learning. Furthermore, it is also well-suited for researchers exploring topics such as machine intelligence, robotic control, and related areas.
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Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems (Hybrid Computational Intelligence for Pattern Analysis and Understanding)
Book 3 of 3: Hybrid Computational Intelligence for Pattern Analysis and UnderstandingSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Deep Learning: Algorithms and Applications (Studies in Computational Intelligence, 865)
Book 366 of 538: Studies in Computational IntelligenceUS$ 175.69
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Deep Learning: Algorithms and Applications (Studies in Computational Intelligence, 865)
Book 366 of 538: Studies in Computational IntelligenceSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: New. pp. XII, 360 171 illus., 139 illus. in color. 2020th edition NO-PA16APR2015-KAP.
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Deep Learning: Algorithms and Applications (Studies in Computational Intelligence)
Book 366 of 538: Studies in Computational IntelligenceUS$ 290.99
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Deep Learning: Algorithms and Applications (Studies in Computational Intelligence)
Book 366 of 538: Studies in Computational IntelligenceUS$ 317.12
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Add to basketHardcover. Condition: Brand New. 372 pages. 9.25x6.10x1.02 inches. In Stock.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Various Deep Learning Algorithms in Computational Intelligence
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Condition: New. PRINT ON DEMAND.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This reprint highlights the importance of Deep Learning (DL), which has garnered significant attention in science, industry, and academia. It draws inspiration from the functioning of the human brain and the concept of learning. Unlike traditional and machine learning methods, deep learning techniques emulate the human brain's neural networks at a lower scale, allowing them to process and analyze substantial quantities of unstructured data. The remarkable proficiency of deep learning in unveiling intricate structures within extensive datasets genuinely resembles the extraordinary aptitude of the brain to recognize patterns and form complex connections. This unique characteristic allows DL to excel in modeling and solving complex problems across various scientific and technological fields. Just as the brain learns from experience, DL architectures learn through algorithms from data by adjusting numerous parameters during training to optimize their performance and accuracy. This concept of learning and adaptation is fundamental to DL's success.This reprint serves as an excellent opportunity to disseminate current knowledge beyond academic boundaries, reaching a diverse audience encompassing academics, professionals, and the general public. This wide readership fosters the potential for meaningful connections to established projects and the cultivation of collaboration for future research endeavors.
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Buch. Condition: Neu. Various Deep Learning Algorithms in Computational Intelligence | Buch | Englisch | 2023 | MDPI AG | EAN 9783036581385 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
