code: def _build_module(self, input_layer):
      # Standard V Network
      if self.initializer == "normalized_columns":
          self.output = self.dense_layer(1)(
              input_layer,
              name="output",
              kernel_initializer=normalized_columns_initializer(1.0),
              bias_initializer=self.output_bias_initializer,
          )
      elif self.initializer == "xavier" or self.initializer is None:
          self.output = self.dense_layer(1)(
              input_layer,
              name="output",
              bias_initializer=self.output_bias_initializer,
          )
  
file_path: coach/rl_coach/architectures/tensorflow_components/heads/v_head.py
imports: import tensorflow
  from rl_coach.architectures.tensorflow_components.layers import Dense
  from rl_coach.architectures.tensorflow_components.heads.head import Head, normalized_columns_initializer
  from rl_coach.base_parameters import AgentParameters
  from rl_coach.core_types import VStateValue
  from rl_coach.spaces import SpacesDefinition
label_desc: Use image node_id 2 for calling the VHead obj's underlying member method code with example usage: obj._build_module(input_layer) without return types