Deep Neural Networks in a Mathematical Framework

• Κύριοι συγγραφείς: Caterini, Anthony L. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Chang, Dong Eui (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: SpringerBriefs in Computer Science,
• Θέματα: Artificial intelligence.; Pattern recognition.; Artificial Intelligence.; Pattern Recognition.

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...