Early stopping is a technique used while training neural networks to prevent the model from overfitting.It basically stops the training process before the model starts to overfit.We monitor the model's performance on a validation set during the training process and stop the training process when the general performance starts to degrade, which indicates that the model is beginning to overfit the..
