Handling overfitting in deep learning models

Overfitting is a problem where a machine learning model fits precisely against its training data Overfitting occurs when the statistical model

The simplest way to reduce overfitting is to increase the size of the training data In machine learning, it is hard to increase the data amount

overfitting These two factors correspond to the two central challenges in machine learning: underfitting and overfitting Underfitting is when the training

overfitting The simplest way to reduce overfitting is to increase the size of the training data In machine learning, it is hard to increase the data amount