How do I choose the optimal number of epochs for my project?

How It Works:

Implement early-stopping callbacks and learning-rate schedules. Track training vs. validation metrics each epoch to identify overfitting points.

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Key Benefits:

• Efficient training: Saves compute by halting at peak performance.
• Better generalization: Avoids fitting noise.
• Automated control: Callbacks optimize without manual checks.

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Real-World Use Cases:

• Medical imaging: Early stopping when validation accuracy peaks.
• Time-series forecasting: Epoch tuning to prevent trend overfit.