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Deep Neural Networks in a Mathematical Framework

(Bog, Paperback / softback, Engelsk)
Forfattere: Anthony L. Caterini, Dong Eui Chang
Deep Neural Networks in a Mathematical Framework
Forlag: Springer International Publishing AG

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Beskrivelse

This SpringerBrief describes how to build a rigorous end-to-end mathematical framework for deep neural networks. In particular, the authors derive gradient descent algorithms in a unified way for several neural network structures, including multilayer perceptrons, convolutional neural networks, deep autoencoders and recurrent neural networks.

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Alle detaljer

Forlag Springer International Publishing AG
Forfattere Anthony L. Caterini, Dong Eui Chang
Type Bog
Format Paperback / softback
Sprog Engelsk
Udgave 1st ed. 2018
Udgivelsesdato 03-04-2018
Første udgivelsesår 2018
Serie SpringerBriefs in Computer Science
Illustrationer XIII, 84 p.
Originalsprog Switzerland
Sideantal 84
Indbinding Paperback / softback
Forlag Springer International Publishing AG
Sideoplysninger 84 pages, XIII, 84 p.
Mål 156 x 234 x 14
ISBN-13 / EAN-13 9783319753034