Science behind the magic. Neural networks.
DOI:
https://doi.org/10.30445/rear.v15i12.1182Keywords:
artificial intelligence, machine learning, deep learning, neural netwoksAbstract
A neural network consists of a series of layers of processing units, called neurons, that perform transformations on input data to generate output data. The fundamentals of the internal functioning of an artificial neural network are described.
References
- Chollet F, Kalinowski WT, Allaire JJ. Deep learning with R, 2nd ed. New York: Manning Publications Co (2022).
- Baumer BS, Kaplan DT, Horton NJ. Modern Data Science with R, 2nd ed. Boca Ratón, Florida: Taylor & Francis Group, LLC (2021).
- Michelucci U. Applied Deep learning. A case-based approach to understanding Deep neural networks. Dübendorf, Suiza: Appress (2018).
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Revista Electrónica AnestesiaR
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Envío y derechos de autor