Overfitting can hinder model performance. Discuss techniques like regularization, dropout, or data augmentation that have helped you address overfitting.
Rety1Begginer
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Thank you for your reply, I will definitely take it and will implement it
To prevent overfitting, I use dropout layers, apply L2 regularization, and implement early stopping during training.
I also ensure the model isn’t overly complex and train it with data augmentation or more data when possible.
Monitoring validation loss helps me fine-tune these strategies effectively.
Sure.