Early Stopping

In machine learning, early stopping is a form of regularization used to avoid overfitting when training a learner with an iterative method, such as gradient descent. Such methods update the learner so as to make it better fit the training data with each iteration.

• introduction to early stopping .
• How does early stopping works?
• explanation about early stopping
• concept of early stopping resource
• coursera for early stopping