Machine Learning, Overfitting, Regularization, Artificial Intelligence, Data Science.
epochs and plot the validation loss graph (e.g., using hold-out). Once the validation loss begins to degrade (e.g., stops decreasing but rather begins increasing), we stop the training and save the current model. We can implement this either by monitoring the loss graph or set an early stopping