The first local minimum of prediction changes on the noisy training set selects a near-optimal early stopping point without any validation data.
Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
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Early Stopping Against Label Noise Without Validation Data
The first local minimum of prediction changes on the noisy training set selects a near-optimal early stopping point without any validation data.