Underfitting Explained - Artificial Neural Networks
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Underfitting Explained - Artificial Neural Networks
In this lesson, we'll discuss what it means when a model is said to be underfitting, and we'll also cover some techniques we can use to try to reduce the problem of underfitting when it occurs.
In a previous lesson, we introduced overfitting as an issue that occurs when a trained model fails to generalize on data outside of the training set. Overfitting can generally be identified by comparing the training metrics to validation metrics.
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