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Can I read Deep Neural Networks in a Mathematical Framework (SpringerBriefs in Computer Science) on EtoBox?

Deep Neural Networks in a Mathematical Framework (SpringerBriefs in Computer Science) by Anthony L. Caterini, Dong Eui Chang, Anthony L. L. Caterini is a computer science book available to read on EtoBox.

What is Deep Neural Networks in a Mathematical Framework (SpringerBriefs in Computer Science) about?

<p>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 algorithms in a unified way for several neural network structures, including multilayer perceptrons, convolutional neural networks, deep autoencoders and recurrent neural networks. Furthermore, the aut

Who reads Deep Neural Networks in a Mathematical Framework (SpringerBriefs in Computer Science)?

It is typically read by working professionals who need an authoritative practice reference.

Common subject areas: medicine, law, business, engineering.

Author
Anthony L. Caterini, Dong Eui Chang, Anthony L. L. Caterini
Publisher
Springer International Publishing Imprint Springer
Published
2018
Language
EN
ISBN
9783319753041
Category
computer science
Subjects
Science, Technology, Mathematics
Updated
2026-03-25

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