text: import sys, os
  
  sys.path.append(os.path.dirname(os.getcwd()))
  
  from tensorflow import keras
  import numpy as np
  from pyradox import convnets
  
  
  inputs = keras.Input(shape=(28, 28, 1))
  x = keras.layers.ZeroPadding2D(2)(inputs)         # padding to increase dimenstions to 32x32
  x = keras.layers.Conv2D(3, 1, padding='same')(x)  # increasing the number of channels to 3
  x = convnets.ResNet101()(x)
  x = keras.layers.GlobalAvgPool2D()(x)
  outputs = keras.layers.Dense(10, activation="softmax")(x)
  
  model = keras.models.Model(inputs=inputs, outputs=outputs) 
  
  