Machine Learning, Regression, Data Science.
overshoot the minima. To avoid overfitting in gradient descent and to stop when a given level of convergence is reached, you can use early stopping where we stop training when validation error reaches minimum. For small learning rate, training will take a long time and for large learning rate,