What are the optimal epoch settings for training a neural network?

What are the optimal epoch settings for training a neural network?

The optimal number of epochs can vary based on the dataset and model. Generally, you should start with a range of 50 to 200 epochs.

How do I know if I should increase or decrease the number of epochs?

You can monitor the training and validation loss. If the validation loss starts to increase while training loss decreases, it may indicate overfitting.

What is overfitting, and how can I prevent it?

Overfitting occurs when a model learns the training data too well, including noise. You can prevent it by using techniques like dropout, early stopping, or regularization.

Are there any specific metrics I should track during training?

Yes, track metrics like accuracy, precision, recall, and F1 score, along with training and validation loss, to evaluate model performance.