Deep Neural Networks in a Mathematical Framework

DOI10.1007/978-3-319-75304-1zbMath1387.92002OpenAlexW2789585573MaRDI QIDQ4644225

Anthony Caterini, Dong Eui Chang

Publication date: 30 May 2018

Published in: SpringerBriefs in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-75304-1

zbMATH Keywords

recurrent neural networksdeep learningelementwise functionsgradient descent step algorithm

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Research exposition (monographs, survey articles) pertaining to biology (92-02)

Related Items

Scientific machine learning through physics-informed neural networks: where we are and what's next, Almost periodic solutions in distribution of Clifford-valued stochastic recurrent neural networks with time-varying delays, Large-dimensional random matrix theory and its applications in deep learning and wireless communications, On random matrices arising in deep neural networks: General I.I.D. case