Machine Learning, Artificial Intelligence, Regularization, Dropout Regularization, Overfitting.
backpropagation in the efforts of making it more robust or insensitive to small variations. During training, a small amount of random noise is added to the updated weights which helps the model learn a more robust set of features. A robust set of features makes sure that the model doesn't overfit