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Neural networks and numerical analysis / Bruno Després

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: De Gruyter series in applied and numerical mathematics ; volume 6Publisher: Berlin : De Gruyter, [2022]Copyright date: © 2022Description: 1 Online-Ressource (XV, 156 Seiten) : IllustrationenISBN:
  • 9783110783186
  • 9783110783261
Subject(s): Additional physical formats: 9783110783124 | Erscheint auch als: Neural networks and numerical analysis. Druck-Ausgabe Berlin : De Gruyter, 2022. XV, 156 SeitenDDC classification:
  • 510
MSC: MSC: 68T07 | 65Z05 | 68T09 | 65L99RVK: RVK: SK 900 | ST 132 | ST 300DOI: DOI: 10.1515/9783110783186Online resources: Summary: 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 schemesPPN: PPN: 1815089237Package identifier: Produktsigel: EBA-EBKALL | EBA-CL-MTPY | EBA-DGALL | EBA-CL-CHCOMSGSEN | EBA-ECL-CHCOMSGSEN | EBA-ECL-MTPY | EBA-EEBKALL | EBA-ESTMALL | EBA-STMALL | GBV-deGruyter-alles | ZDB-23-DGG | ZDB-23-DMA
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Literaturverzeichnis: Seite [149]-153

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