How do you handle class imbalance in Keras models?

Class imbalance is handled using weighting, resampling, or specialized loss functions.

Keras supports class_weight in fit(), oversampling via tf.data, and focal loss for extreme imbalance scenarios. Proper handling ensures minority classes are not ignored during training.