ML1 Common regularization techniques in ML - Data augmentation Data augmentation is a technique used in machine learning and computer vision to artificially increase the size and diversity of the training dataset by applying a set of transformations to the existing data. The main goal of data augmentation is to introduce variations in the training data so that the model can learn and generalize better. By generating additional examples, data augmentation he.. 2023. 8. 2. 이전 1 다음