A Guide to Regularization in Python

Using Regularization to Prevent Overfitting in Deep Learning Models

Sadrach Pierre, Ph.D.
Towards Data Science
9 min readDec 7, 2021

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Overfitting is a common problem data scientists face when building models with high complexity. It occurs when a model fits very well to the training data then subsequently performs poorly when tested on new data.

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Writer for Built In & Towards Data Science. Cornell University Ph. D. in Chemical Physics.