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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Anwendungs-Software Computational Methods for Deep Learning
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Computational Methods for Deep Learning
Wei Qi Yan (Broschiert, Englisch)
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Beschreibung
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 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 Yan is 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 . 64,19 €
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Technische Daten
Erscheinungsdatum
05.12.2021
Sprache
Englisch
EAN
9783030610838
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Texts in Computer Science
Sonderedition
Nein
Autor
Wei Qi Yan
Seitenanzahl
134
Einbandart
Broschiert
Buch Untertitel
Theoretic, Practice and Applications
Schlagwörter
Deep Learning, Pattern Analysis, Manifold Learning, Machine Vision, Reinforcement Learning, Natural Language Processing, Autoencoder, Generative Adversarial Networks, Transfer Learning, Time-Series Analysis, Calculus, Linear Algebra, Numerical Analysis, Tensor Algebra, Graphical Models, Information Theory, Optimization, Functional Analysis, Basic Algebra
Thema-Inhalt
UYT - Bildverarbeitung
UYQM - Maschinelles Lernen
UYAM - Mathematik für Informatiker
UYQ - Künstliche Intelligenz
PBWH - Mathematische Modellierung
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Springer-Verlag GmbH, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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