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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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