batch normalization1 Common regularization techniques in machine learning Regularization is a technique in machine learning that aims to prevent overfitting by adding a penalty term to the loss function. This penalty term discourages complex models that fit the training data too well but may not generalize well to unseen data. Some common regularization techniques in machine learning include: 1. L1 and L2 Regularization: L1 regularization, also known as Lasso regressi.. 2023. 8. 2. 이전 1 다음