code: def MLP(
      units_list, use_bias=True, activation="relu", out_activation=None
  ):
      mlp = Sequential()
  
      for units in units_list[:-1]:
          mlp.add(
              Dense(units, activation=activation, use_bias=use_bias)
          )
  
      mlp.add(
          Dense(
              units_list[-1],
              activation=out_activation,
              use_bias=use_bias,
          )
      )
  
      return mlp
  
label_desc: Use image node_id 1 for calling a global function with example usage: MLP(units_list, use_bias, activation, out_activation) and returns: mlp