code: def defuse_activation(self):
          
          idx, nb_layers = 0, len(self.layer_list)
          while idx < nb_layers:
              layer = self.layer_list[idx]
              k_layer = self.keras_layer_map[layer]
              if (isinstance(k_layer, _keras.layers.TimeDistributed)):
                  k_layer = k_layer.layer
              if (isinstance(k_layer, _keras.layers.Conv2D) or
                  isinstance(k_layer, _keras.layers.Conv1D) or
                  isinstance(k_layer, _keras.layers.SeparableConv2D) or
                  isinstance(k_layer, _keras.layers.SeparableConv1D) or
                  isinstance(k_layer, _keras.layers.Dense)):
  
                  func_name = k_layer.activation.func_name if six.PY2 else \
                          k_layer.activation.__name__
  
                  if func_name != 'linear':
                      # Create new layer
                      new_layer = layer + '__activation__'
                      new_keras_layer = _keras.layers.core.Activation(func_name)
                      # insert new layer after it
                      self._insert_layer_after(idx, new_layer, new_keras_layer)
                      idx += 1
                      nb_layers += 1
              idx += 1
docs: Defuse the fused activation layers in the network.