Convolutional Neural Networks with Transfer Learning for Recognition of COVID-19: A Comparative Study of Different Approaches

Convolutional Neural Networks with Transfer Learning for Recognition of COVID-19: A Comparative Study of Different Approaches

To judge the ability of convolutional neural networks (CNNs) to effectively and efficiently transfer image representations learned on the ImageNet dataset to the task of recognizing COVID-19 in this work, we propose and analyze four approaches. For this purpose, we use VGG16, ResNetV2, InceptionResN...

Full description

Bibliographic Details
Main Authors: Tanmay Garg, Mamta Garg, Om Prakash Mahela, Akhil Ranjan Garg
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:AI
Subjects:
convolutional neural networks
transfer learning
K-means clustering
principal component analysis
Online Access:https://www.mdpi.com/2673-2688/1/4/34

Similar Items

Similar Items