Entropy-based deep neural network training optimization for optical coherence tomography imaging

This paper presents an optimization technique for the number of training epochs needed for deep learning models. The proposed method eliminates the need for separate validation data and significantly decreases training epochs. Using a four-class Optical Coherence Tomography (OCT) image dataset encom...

Full description

Bibliographic Details

Published in:	Applied Artificial Intelligence
Main Authors:	Karri Karthik, Manjunatha Mahadevappa
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2024-12-01
Online Access:	https://www.tandfonline.com/doi/10.1080/08839514.2024.2355760