Activation Functions
Activation Functions in Deep Learning with LaTeX Applications
©2022
Monographs
84 Pages
Summary
This book describes the functions frequently used in deep neural networks. For this
purpose, 37 activation functions are explained both mathematically and visually, and
given with their LaTeX implementations due to their common use in scientific articles.
purpose, 37 activation functions are explained both mathematically and visually, and
given with their LaTeX implementations due to their common use in scientific articles.
Excerpt
Table Of Contents
Details
- Pages
- 84
- Publication Year
- 2022
- ISBN (PDF)
- 9783631876701
- ISBN (ePUB)
- 9783631876718
- ISBN (MOBI)
- 9783631876725
- ISBN (Softcover)
- 9783631873281
- DOI
- 10.3726/b19631
- Language
- English
- Publication date
- 2022 (May)
- Published
- Berlin, Bern, Bruxelles, New York, Oxford, Warszawa, Wien, 2022. 84 pp., 28 fig. b/w, 1 tables.
- Product Safety
- Peter Lang Group AG
