How can I improve the generalization of my AI model?
Improving generalization involves techniques like regularization, data augmentation, and using more diverse training data.
What is regularization and how does it help?
Regularization adds a penalty for complexity to the loss function, helping to prevent overfitting and improve generalization.
Can you give me examples of data augmentation techniques?
Sure! Common techniques include flipping, rotating, scaling images, and adding noise to the data.
How important is the size of the training dataset?
The size of the training dataset is crucial; larger datasets can help the model learn better and generalize more effectively.
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