Machine learning with neural networks

Machine learning with neural networks: an introduction for scientists and engineers

by Mehlig, Bernhard

Type Book
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"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…

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Title Statements

  • Full title :Machine learning with neural networks : an introduction for scientists and engineers / Bernhard Mehlig, University of Gothenburg, Sweden.

Summary

"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"

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Edition Statements

  • Publication Date:2022

Publication Statements

Notes

Bibliography: Seite 227-237.

The Physical Object

  • Description:ix, 249 Seiten : Illustrationen, Diagramme

Edition Identifiers

  • ISBN:9781108494939, 1108494935
  • oclc:on1277127618
  • LC Classification:QA76.87
  • Dewey Decimal:006.3/2

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