main.py

from __future__ import absolute_import, division, print_function, unicode_literals

# Install TensorFlow

import tensorflow as tf


# copied from https://www.tensorflow.org/tutorials/quickstart/beginner
def main():

    mnist = tf.keras.datasets.mnist

    (x_train, y_train), (x_test, y_test) = mnist.load_data()
    x_train, x_test = x_train / 255.0, x_test / 255.0

    model = tf.keras.models.Sequential([
        tf.keras.layers.Flatten(input_shape=(28, 28)),
        tf.keras.layers.Dense(128, activation='relu'),
        tf.keras.layers.Dropout(0.2),
        tf.keras.layers.Dense(10, activation='softmax')
    ])

    model.compile(optimizer='adam',
                loss='sparse_categorical_crossentropy',
                metrics=['accuracy'])
    
    model.fit(x_train, y_train, epochs=5)

    model.evaluate(x_test,  y_test, verbose=2)


if __name__ == "__main__":
    main()