code: def __init__(self, inputs, trainable=True):
      # The input nodes for this network
      self.inputs = inputs
      # The current list of terminal nodes
      self.terminals = []
      # Mapping from layer names to layers
      self.layers = dict(inputs)
      # If true, the resulting variables are set as trainable
      self.trainable = trainable
  
      self.setup()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  import cv2
  import os
  import inspect
label_desc: Use image node_id 1 to create a new Network object from inherited base classes: object with example: obj = Network(inputs, trainable)