Feedback-Based Validation Learning

Feedback-Based Validation Learning

This paper presents Feedback-Based Validation Learning (FBVL), a novel approach that transforms the role of validation datasets in deep learning. Unlike conventional methods that utilize validation datasets for performance evaluation post-training, FBVL integrates these datasets into the training pr...

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Bibliographic Details
Main Authors: Chafik Boulealam, Hajar Filali, Jamal Riffi, Adnane Mohamed Mahraz, Hamid Tairi
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Computation
Subjects:
real-time feedback
deep learning (DL)
generalization
weight adjustment
model optimization
neural network training
Online Access:https://www.mdpi.com/2079-3197/13/7/156
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