Regularization is a vital tool in machine learning and deep learning for mitigating overfitting, a scenario where the model learns the training data too precisely. Overfitting can lead to a model failing to predict future data accurately. Regularization techniques are designed to help the model generalize better to new data.
Two popular regularization techniques are L1…
