How do I use class weights in TensorFlow?

How do I use class weights in TensorFlow?

You can use class weights in TensorFlow to handle class imbalance. You can specify them in the fit method of your model.

Can you show me an example of how to implement it?

Sure! You can create a dictionary with class indices as keys and their corresponding weights as values. Then, pass it to the fit method like this: model.fit(X_train, y_train, class_weight={0: 1, 1: 5}).

What if I have more than two classes?

You can still use a dictionary for multiple classes. Just include all class indices and their weights, like this: class_weight={0: 1, 1: 5, 2: 2}.

Is there a way to calculate class weights automatically?

Yes! You can use sklearn.utils.class_weight.compute_class_weight to calculate weights based on the frequency of each class in your dataset.