code: def get_deeper_entropy(self):
      deeper_entropy = []
      for _i in range(self.deeper_actor.decision_num):
          deeper_probs = self.deeper_actor.probs[_i]
          entropy = -tf.multiply(
              tf.log(deeper_probs + 1e-10), deeper_probs
          )
          entropy = tf.reduce_sum(entropy, axis=1)
          deeper_entropy.append(entropy)
      deeper_entropy = tf.reduce_mean(deeper_entropy)
      return deeper_entropy
  
imports: from ..meta_controller.base_controller import WiderActorNet, DeeperActorNet, EncoderNet, BaseController
  import tensorflow
  import os
  from tensorflow.python.ops import array_ops
  from ..models.basic_model import BasicModel
  import shutil
  import numpy
label_desc: Use image node_id 12 for calling the RLNet2NetController obj's underlying member method code with example usage: obj.get_deeper_entropy() and returns: deeper_entropy