Generic function to apply kernel regularization to any keras model layer that supports it

keras_model_regularization.py

from keras.regularizers import l1_l2

def set_kernel_reg(model, lambdal1 = 0, lambdal2 = 0):
	"""
	 Apply kernel regularization to keras model	

	 Args:
	     model: Instance of `Model` not compiled yet
		 lambda1 (float): L1 regularization factor
		 lambda2 (float): L2 regularization factor

	 Returns:
	     Return the same model but with kernel_regularizer configured
	 """
	for layer in model.layers:
		if hasattr(layer, 'kernel_regularizer'):
			layer.kernel_regularizer = l1_l2(l1 = lambdal1, l2 = lambdal2)

	return model