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