How do I implement regularization in Keras?

How do I implement regularization in Keras?

You can implement regularization in Keras using techniques like L1, L2, or Dropout. Would you like to see examples?

Yes, please show me how to use L2 regularization.

To use L2 regularization, you can add it to your layers like this: Dense(64, kernel_regularizer=regularizers.l2(0.01)). This adds L2 regularization with a factor of 0.01.

What about Dropout? How do I add that?

You can add Dropout by including a Dropout layer in your model. For example: Dropout(0.5) after a Dense layer will randomly set 50% of the inputs to zero during training.

Are there any other regularization techniques I should know about?

Yes, you might also consider L1 regularization or a combination of L1 and L2, known as Elastic Net. Each has its own benefits depending on your model.