Computational Methods Deep Learning by Yan Wei (41 results)
Language: English
Published by Springer 2020
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Published by Springer 2023
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Published by Springer 2023
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Published by Springer 2023
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Published by Rawat Publications 2023
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Published by Springer 2023
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Published by Rawat Publications 2023
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Language: English
Published by Springer 2023
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Published by Springer 2023
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Language: English
Published by Springer 2023
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Language: English
Published by Springer 2023
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Language: English
Published by Springer International Publishing 2021
Series: Texts in Computer Science, Book 56 of 83. Book 56 of 83 - Texts in Computer Science
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of ma…chine intelligence. It adopts the methodology from graphical theory, mathematical models, and algorithmic implementation, as well as covers datasets preparation, programming, results analysis and evaluations.Beginning with a grounding about artificial neural networks with neurons and the activation functions, the work then explains the mechanism of deep learning using advanced mathematics. In particular, it emphasizes how to use TensorFlow and the latest MATLAB deep-learning toolboxes for implementing deep learning algorithms.As a prerequisite, readers should have a solid understanding especially of mathematical analysis, linear algebra, numerical analysis, optimizations, differential geometry, manifold, and information theory, as well as basic algebra, functional analysis, and graphical models. This computational knowledge will assist in comprehending the subject matter not only of this text/reference, but also in relevant deep learning journal articles and conference papers.This textbook/guide is aimed at Computer Science research students and engineers, as well as scientists interested in deep learning for theoretic research and analysis. More generally, this book is also helpful for those researchers who are interested in machine intelligence, pattern analysis, natural language processing, and machine vision.Dr. Wei Qi Yanis an Associate Professor in the Department of Computer Science at Auckland University of Technology, New Zealand. His other publications include the Springer title,Visual Cryptography for Image Processing and Security.
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Published by Springer 2021
Series: Texts in Computer Science, Book 56 of 83. Book 56 of 83 - Texts in Computer Science
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Taschenbuch. Condition: Neu. Computational Methods for Deep Learning | Theoretic, Practice and Applications | Wei Qi Yan | Taschenbuch | Texts in Computer Science | xvii | Englisch | 2021 | Springer | EAN 9783030610838 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]har…tmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer, Berlin, Springer International Publishing, Springer 2020
Series: Texts in Computer Science, Book 56 of 83. Book 56 of 83 - Texts in Computer Science
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine i…ntelligence. It adopts the methodology from graphical theory, mathematical models, and algorithmic implementation, as well as covers datasets preparation, programming, results analysis and evaluations.Beginning with a grounding about artificial neural networks with neurons and the activation functions, the work then explains the mechanism of deep learning using advanced mathematics. In particular, it emphasizes how to use TensorFlow and the latest MATLAB deep-learning toolboxes for implementing deep learning algorithms.As a prerequisite, readers should have a solid understanding especially of mathematical analysis, linear algebra, numerical analysis, optimizations, differential geometry, manifold, and information theory, as well as basic algebra, functional analysis, and graphical models. This computational knowledge will assist in comprehending the subject matter not only of this text/reference, but also in relevant deep learning journal articles and conference papers.This textbook/guide is aimed at Computer Science research students and engineers, as well as scientists interested in deep learning for theoretic research and analysis. More generally, this book is also helpful for those researchers who are interested in machine intelligence, pattern analysis, natural language processing, and machine vision.Dr. Wei Qi Yanis an Associate Professor in the Department of Computer Science at Auckland University of Technology, New Zealand. His other publications include the Springer title,Visual Cryptography for Image Processing and Security.
Language: English
Published by Springer 2021
Series: Texts in Computer Science, Book 56 of 83. Book 56 of 83 - Texts in Computer Science
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Language: English
Published by Springer International Publishing 2020
Series: Texts in Computer Science, Book 56 of 83. Book 56 of 83 - Texts in Computer Science
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Language: English
Published by Springer-Nature New York Inc 2023
Series: Texts in Computer Science, Book 80 of 83. Book 80 of 83 - Texts in Computer Science
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Hardcover. Condition: Brand New. 2nd edition. 242 pages. 9.25x6.10x9.21 inches. In Stock.
Language: English
Published by SPRINGER 2023
Series: Texts in Computer Science, Book 80 of 83. Book 80 of 83 - Texts in Computer Science
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- International Edition
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Hardcover. Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requ…ested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Language: English
Published by Springer Nature Singapore 2023
Series: Texts in Computer Science, Book 80 of 83. Book 80 of 83 - Texts in Computer Science
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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.
Language: English
Published by Springer, Springer 2023
Series: Texts in Computer Science, Book 80 of 83. Book 80 of 83 - Texts in Computer Science
- Hardcover
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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 aud…ience, 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.
Language: English
Published by Springer International Publishing 2020
Series: Texts in Computer Science, Book 56 of 83. Book 56 of 83 - Texts in Computer Science
- Hardcover
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Hardcover. Condition: gut. 2020. Computational Methods for Deep Learning In deutscher Sprache. pages.
Language: English
Published by Springer Nature Singapore 2023
Series: Texts in Computer Science, Book 80 of 83. Book 80 of 83 - Texts in Computer Science
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Seller: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermanyBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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Hardcover. Condition: gut. 2023. Computational Methods for Deep Learning In deutscher Sprache. pages.
