new_contents: import numpy as np
  import matplotlib.pyplot
  # from NeuralNetwork import NeuralNetwork
  
  data_file_train = open("data/mnist_train_100.csv", "r")
  data_list_train = data_file_train.readlines()
  data_file_train.close()
  
  data_file_test = open("data/mnist_test_10.csv", "r")
  data_list_test = data_file_test.readlines()
  data_file_test.close()
  
  first_line = data_list_train[0].split(',')
  # image_array = np.asfarray(first_line[1:]).reshape((28, 28))
  # matplotlib.pyplot.imshow(image_array, cmap='Greys', interpolation=None)
  # matplotlib.pyplot.show()
  
  # adjust greyscale 0-255 to value from 0.01 to 1
  # add 0.01 to remove zero values 
  scaled_input = (np.asfarray(first_line[1:]) / 255.0 * 0.99) + 0.01
  print(scaled_input)
  
subject: add mnist train