Neural Networks and Numerical Analysis

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This book uses numerical analysis as the main tool to investigate methods in machine learning and neural networks. The efficiency of neural network representations for general functions and for polynomial functions is studied in detail, together with an original description of the Latin hypercube method and of the ADAM algorithm for training. Furthermore, unique features include the use of Tensorflow for implementation session, and the description of on going research about the construction of new optimized numerical schemes.

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ReiheDe Gruyter Series in Applied and Numerical Mathematics
ISBN 9783110783124
Sprache Englisch
Erscheinungsdatum 22.08.2022
Umfang 158 Seiten
Genre Mathematik
Format Hardcover
Verlag De Gruyter
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