What is the best way to decide how many epochs of training to perform? It is always obvious looking at the decision boundary when the model begins to overfit. None of the others. As soon as the value...


What is the best way to decide how many epochs of training to<br>perform?<br>It is always obvious looking at the decision boundary when the<br>model begins to overfit.<br>None of the others.<br>As soon as the value of the Testing dataset performance begins<br>to decrease.<br>As soon as the value of the Tuning dataset performance begins<br>to decrease.<br>As soon as the value of the Training dataset performance<br>(accuracy, F1.) begins to decrease.<br>As soon as the value of the Testing dataset loss begins to<br>increase.<br>As soon as the value of the Tuning dataset loss begins to<br>increase.<br>As soon as the value of the Training dataset loss begins to<br>increase.<br>

Extracted text: What is the best way to decide how many epochs of training to perform? It is always obvious looking at the decision boundary when the model begins to overfit. None of the others. As soon as the value of the Testing dataset performance begins to decrease. As soon as the value of the Tuning dataset performance begins to decrease. As soon as the value of the Training dataset performance (accuracy, F1.) begins to decrease. As soon as the value of the Testing dataset loss begins to increase. As soon as the value of the Tuning dataset loss begins to increase. As soon as the value of the Training dataset loss begins to increase.

Jun 07, 2022
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