Submitted:
11 August 2019
Posted:
13 August 2019
You are already at the latest version
Artificial Intelligence (AI) and Machine Learning
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.
Keywords:
deep learning
; machine learning model
; convolutional neural networks (CNN)
; recurrent neural networks (RNN)
; denoising autoencoder (DAE)
; deep belief networks (DBNs)
; long short-term memory (LSTM)
; review
; survey
; state of the art
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
