How to add regularizations in TensorFlow?

Question

I found in many available neural network code implemented using TensorFlow that regularization terms are often implemented by manually adding an additional term to loss valu

Answer 1

As you say in the second point, using the regularizer argument is the recommended way. You can use it in get_variable, or set it once in your variable_scope and have all your variables regularized.

The losses are collected in the graph, and you need to manually add them to your cost function like this.

  reg_losses = tf.get_collection(tf.GraphKeys.REGULARIZATION_LOSSES)
  reg_constant = 0.01  # Choose an appropriate one.
  loss = my_normal_loss + reg_constant * sum(reg_losses)

Hope that helps!