Describe the optimal point to stop training a model.
Deep Learning CNN Convolutional Neural Networks with Python - DropOut, Early Stopping and Hyperparameters Quiz
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The video tutorial discusses the concept of curves representing validation and training loss over time. It explains how these losses decrease as time progresses and highlights the importance of identifying the optimal point to stop training a model. This optimal point ensures the model is neither underfit nor overfit, achieving the best performance.
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What does it mean for a model to be underfit or overfit?
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