List of Deep Learning Models

Author:

Mosavi AmirORCID,Ardabili Sina Faizollahzadeh,Varkonyi-Koczy Annamaria R.

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 application domains.

Publisher

Center for Open Science

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Extended Deep Learning Model to Predict the Electric Vehicle Motor Operating Point;SAE Technical Paper Series;2024-04-09

2. Exploring Deep Learning Approaches for Citrus Diseases Detection and Classification: A Review;International Journal of Innovative Science and Research Technology (IJISRT);2024-04-03

3. Comparing the Performance of Machine Learning Algorithms for Groundwater Mapping in Delhi;Journal of the Indian Society of Remote Sensing;2023-12-20

4. Using Ensemble Learning and Random Forest Techniques to Solve Complex Problems;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2023-12-18

5. Optimization for injection molding process parameters using artificial neural network: A critical review;MACHINE LEARNING AND INFORMATION PROCESSING: PROCEEDINGS OF ICMLIP 2023;2023

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