Fighting Overfitting in Deep Learning

overfitting What Is Overfitting? Overfitting is a modeling error in statistics that occurs when a function is too closely aligned to a limited set of data points As a

What is Overfitting? Overfitting happens when a machine learning model has become too attuned to the data on which it was trained and therefore loses its overfitting Overfitting occurs when the chosen model is too complex relative to the size of the dataset For example, in the case of a polynomial regression