Machine learning with neural networks : an introduction for scientists and engineers (Record no. 30861)

000 -LEADER
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108494939
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.32
Item number MEH
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Mehlig, Bernhard
245 ## - TITLE STATEMENT
Title Machine learning with neural networks : an introduction for scientists and engineers
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Cambridge University Press,
Date of publication, distribution, etc 2022
Place of publication, distribution, etc Cambridge :
300 ## - PHYSICAL DESCRIPTION
Extent ix, 249 p. ;
Other physical details ill.,
Dimensions 26 cm
365 ## - TRADE PRICE
Price amount 39.99
Price type code GBP
Unit of pricing 100.50
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
Topical term or geographic name as entry element Neural networks
Topical term or geographic name as entry element Computer science
Topical term or geographic name as entry element Activation Function
Topical term or geographic name as entry element Backpropagation
Topical term or geographic name as entry element Central-limit theorem
Topical term or geographic name as entry element Cross-talk term
Topical term or geographic name as entry element Decision boundary
Topical term or geographic name as entry element Energy function
Topical term or geographic name as entry element Feed-forward network
Topical term or geographic name as entry element Hidden neuron
Topical term or geographic name as entry element Hopfield network
Topical term or geographic name as entry element Image Net
Topical term or geographic name as entry element Markov chain
Topical term or geographic name as entry element Mean-field theory
Topical term or geographic name as entry element Noise level
Topical term or geographic name as entry element Output neuron
Topical term or geographic name as entry element Principle component
Topical term or geographic name as entry element Q-table
Topical term or geographic name as entry element Residwal network
Topical term or geographic name as entry element Stochastic gradient descent
Topical term or geographic name as entry element Vanishing gradient
Topical term or geographic name as entry element Winning neoron
Topical term or geographic name as entry element XOR problem
Topical term or geographic name as entry element Boltzmann Machines
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2022-06-26 4019.00 006.32 MEH 033147 2022-06-27 Books

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