create a basic artificial inteligence with tensorflow, which converts celsius to fahrenheit

def training_data():
  #initialize training data
  celsius_q = np.array([-40, -10,  0,  8, 15, 22,  38],  dtype=float)
  fahrenheit_a = np.array([-40,  14, 32, 46, 59, 72, 100],  dtype=float)
  for i,c in enumerate(celsius_q):
    print("{} degrees Celsius = {} degrees Fahrenheit".format(c, fahrenheit_a[i]))
  return celsius_q, fahrenheit_a

def build_model(l0, l1, l2, l3):
  model = tf.keras.Sequential([l0, l1, l2, l3])
  model.compile(loss='mean_squared_error', optimizer=tf.keras.optimizers.Adam(0.1))
  return model

def train_model(model, celsius_q, fahrenheit_a, epochs, batch_size):
  history = model