List of Deep Learning Models

Amir Mosavi, Sina Ardabili, Annamária R. Várkonyi-Kóczy

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Deep learning (DL) algorithms have recently emerged from machine learning and soft computing techniques. Since then, several deep learning (DL) algorithms have been recently introduced to scientific communities and are applied in various application domains. Today the usage of DL has become essential due to their intelligence, efficient learning, accuracy and robustness in model building. However, in the scientific literature, a comprehensive list of DL algorithms has not been introduced yet. This paper provides a list of the most popular DL algorithms, along with their applications domains.

Original languageEnglish
Title of host publicationLecture Notes in Networks and Systems
PublisherSpringer
Pages202-214
Number of pages13
DOIs
Publication statusPublished - Jan 1 2020

Publication series

NameLecture Notes in Networks and Systems
Volume101
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

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Keywords

  • Convolutional neural networks (CNN)
  • Deep belief networks (DBNs)
  • Deep learning
  • Denoising autoencoder (DAE)
  • Long short-term memory (LSTM)
  • Machine learning
  • Recurrent neural networks (RNN)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

Cite this

Mosavi, A., Ardabili, S., & Várkonyi-Kóczy, A. R. (2020). List of Deep Learning Models. In Lecture Notes in Networks and Systems (pp. 202-214). (Lecture Notes in Networks and Systems; Vol. 101). Springer. https://doi.org/10.1007/978-3-030-36841-8_20