code: def __init__(
      self, observation_spec, action_spec, layer, num_atoms=5, name=None
  ):
      super(KerasLayersNet, self).__init__(
          observation_spec, state_spec=(), name=name
      )
      self._layer = layer
      self.num_atoms = num_atoms
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  from tf_agents.agents.categorical_dqn import categorical_dqn_agent
  from tf_agents.networks import categorical_q_network
  from tf_agents.networks import network
  from tf_agents.networks import q_rnn_network
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import test_utils
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import common
label_desc: Use image node_id 1 to create a new KerasLayersNet object from inherited base classes: network with example: obj = KerasLayersNet(observation_spec, action_spec, layer, num_atoms, name)