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 ...
Regularization aims to improve prediction performance by trading an increase in training error for better agreement between training and prediction errors, which is ...
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