L1 Regularization, L2 Regularization, Regularization, Early Stopping, Dropout.
Deep learning models have achieved remarkable success in various fields, from computer vision to natural language processing. These models, with their massive neural networks, have shown the capacity to learn complex patterns from data. However, they come with a notorious caveat: overfitting.