opt = tf.train.GradientDescentOptimizer(learning_rate=.1)

opt_op = opt.minimize(tf.losses.mean_squared_error, var_list=[model.W, model.b])
# TypeError: mean_squared_error() missing 2 required positional arguments: 'labels' and 'predictions'