Data Augmentation When the amount of data is small, the model can easily memorize even certain patterns or noises, increasing the probability of overfitting. Therefore, as the amount of data increases, the model can learn common patterns of data to prevent overfitting.Reduce model complexity Reduce the number of hidden layers or parameters.For example, The complex overfitting neural network that..
