Hajar Maseeh

Dropout: An Effective Approach to Prevent Neural Networks from Overfitting

Shahwan Younis Ali & Hajar Maseeh · Asian Journal of Research in Computer Science · 2025

Overfitting remains a significant challenge in training neural networks, often leading to poor generalization on unseen data. Dropout has emerged as a powerful regularization technique to mitigate overfitting by randomly deactivating neurons during training, thereby preventing co...