Machine learning with neural networks

• Verfasst von: Mehlig, Bernhard [VerfasserIn]
• Titel: Machine learning with neural networks
• Titelzusatz: an introduction for scientists and engineers
• Verf.angabe: Bernhard Mehlig, University of Gothenburg, Sweden
• Verlagsort: Cambridge, United Kingdom ; New York, NY
• Verlag: Cambridge University Press
• Jahr: 2021
• Umfang: 1 Online-Ressource (ix, 249 Seiten)
• Fussnoten: Includes bibliographical references and index
• ISBN: 978-1-108-86060-4
• DOI: doi:10.1017/9781108860604
• Schlagwörter: (s)Neuronales Netz / (s)Maschinelles Lernen / (s)Fuzzy-Logik
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe: Mehlig, Bernhard, 1964 - : Machine learning with neural networks. - Cambridge, United Kingdom : Cambridge University Press, 2022. - ix, 249 Seiten
• RVK-Notation: ST 300
• Sach-SW: SCIENCE / Physics / Mathematical & Computational
• Sach-SW: SCIENCE / Physics / Mathematical & Computational
• K10plus-PPN: 1774671700
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

"This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong connections are drawn with underlying methods from statistical physics and current applications within science and engineering. Closely based around a well-established undergraduate course, this pedagogical text provides a solid understanding of the key aspects of modern machine learning with artificial neural networks, for students in physics, mathematics, and engineering. Numerous exercises expand and reinforce key concepts within the book and allow students to hone their programming skills. Frequent references to current research develop a detailed perspective on the state-of-the-art in machine learning research"--