def METHOD_NAME(input_shape, kernel=(3, 3), filters=16):
    model = tf.keras.Sequential(
        [
            tf.keras.layers.Input(shape=input_shape[1:], batch_size=1),
            tf.keras.layers.Conv2D(filters, kernel),
        ]
    )
    return model