Preprint Review Version 1 This version is not peer-reviewed

List of Deep Learning Models

Version 1 : Received: 11 August 2019 / Approved: 13 August 2019 / Online: 13 August 2019 (09:32:09 CEST)

How to cite: Mosavi, A.; Faizollahzadeh ardabili, S.; R. Várkonyi-Kóczy, A. List of Deep Learning Models. Preprints 2019, 2019080152 (doi: 10.20944/preprints201908.0152.v1). Mosavi, A.; Faizollahzadeh ardabili, S.; R. Várkonyi-Kóczy, A. List of Deep Learning Models. Preprints 2019, 2019080152 (doi: 10.20944/preprints201908.0152.v1).

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.

Subject Areas

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

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.