Neural Networks and Deep Learning

Uday Shankar Shanthamallu, Andreas Spanias

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

In this chapter, a brief introduction to the field of artificial neural networks is provided with a focus on deep learning [9], neural network training, and different architectures. Artificial neural networks are powerful pattern recognition machines, and they have proved to be the most successful. Neural networks and deep learning are quite successful at end-to-end learning, and they do not require feature engineering as in traditional machine learning techniques such as SVM and decision trees. Deep learning has achieved unprecedented results in various fields, including signal processing [143, 144], computer vision [145], speech and audio processing [146], and natural language processing [147, 148].

Original languageEnglish (US)
Title of host publicationSynthesis Lectures on Signal Processing
PublisherSpringer Nature
Pages43-57
Number of pages15
DOIs
StatePublished - 2022

Publication series

NameSynthesis Lectures on Signal Processing
ISSN (Print)1932-1236
ISSN (Electronic)1932-1694

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Electrical and Electronic Engineering

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