code: def load_knowledge(self):
      result_loading = False
  
      if os.path.isfile("knowledge_recognition_memory_dump") is True:
          file_network_dump = open(
              "knowledge_recognition_memory_dump", "rb"
          )
          self.__network = pickle.load(file_network_dump)
  
          result_loading = True
  
      return result_loading
  
imports: from pyclustering.nnet.som import som, type_conn
  from pyclustering.samples.definitions import IMAGE_DIGIT_SAMPLES
  from pyclustering.utils import read_image, rgb2gray
  from tkinter import *
  from tkinter import messagebox
  import math
  import pickle
  import os
  import random
label_desc: Use image node_id 5 for calling the recognizer obj's underlying member method code with example usage: obj.load_knowledge() and returns: result_loading