The data science doctor continues his exploration of techniques used to reduce the likelihood of model overfitting, caused by training a neural network for too many iterations. Regularization is a ...

Deep learning models, with their vast capacity to fit complex data patterns, are prone to overfitting when trained on limited or noisy datasets. Regularization techniques act as constraints or ...