code: def get_model(inputs_shape):
      ni = tl.layers.Input(inputs_shape, name="observation")
      nn = tl.layers.Dense(
          4,
          act=None,
          W_init=tf.random_uniform_initializer(0, 0.01),
          b_init=None,
          name="q_a_s",
      )(ni)
      return tl.models.Model(inputs=ni, outputs=nn, name="Q-Network")
  
file_path: TensorLayer/examples/reinforcement_learning/tutorial_DQN.py
imports: import argparse
  import os
  import time
  import gym
  import matplotlib.pyplot
  import numpy
  import tensorflow
  import tensorlayer
label_desc: Use image node_id 2 for calling a global function with example usage: get_model(inputs_shape) and returns: tl