Question: ((1) Suppose you want to avoid overtting and implement Earl}F Stopping for your model. You train your model with minibatoh gradient descent. After ever}.F batch

((1) Suppose you want to avoid overtting and implement Earl}F Stopping for your model. You train your model with minibatoh gradient descent. After ever}.F batch you check the validation loss and stop as soon as it goes up. Is this a good idea? My? [5 morhe]

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