Click to learn more about author Kathrin Melcher. Regularization can be used to avoid overfitting. But what actually is regularization, what are the common techniques, and how do they differ? Well, according to Ian Goodfellow [1]: “Regularization is any modification we make to a learning algorithm that is intended to reduce its generalization error but […]
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