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Deep Neural Networks in a Mathematical Framework

This SpringerBrief describes how to build a rigorous end-to-end mathematical framework for deep neural networks. The authors provide tools to represent and describe neural networks, casting previous results in the field in a more natural light. In particular, the authors derive gradient descent algo...

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Main Authors:	Caterini, Anthony L. (Author, http://id.loc.gov/vocabulary/relators/aut), Chang, Dong Eui. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author:	SpringerLink (Online service)
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:	1st ed. 2018.
Series:	SpringerBriefs in Computer Science,
Subjects:	Artificial intelligence. Pattern recognition. Artificial Intelligence. Pattern Recognition.
Online Access:	https://doi.org/10.1007/978-3-319-75304-1

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