I read that regularization terms are implemented by manually adding an additional term to loss value in neural network code using TensorFlow.
So my doubts are:
Is there any other way to regularize rather than doing it manually?
How can I use get_varibles's argument regularizer? I observed that, if we pass a regularizer to it (like a tf.contrib.layers.13_regularizer) a regularized term representing a tensor term will be computed and added to a graph collection named tf.Graphkeys.REGULARIZATION_LOSSES. Will TensorFlow automatically use that collection or I have to do it manually?
Select the correct answer from above options