What is early stopping in neural network?
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Early stopping is a technique for controlling overfitting in machine learning models, especially neural networks, by stopping training before the weights have converged. Often we stop when the performance has stopped improving on a held-out validation set.
I hope it will help you
Early stopping is a technique for controlling overfitting in machine learning models, especially neural networks, by stopping training before the weights have converged. Often we stop when the performance has stopped improving on a held-out validation set.
I hope it will help you
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