model = keras.Sequential([
keras.layers.Flatten(input_shape=(28, 28)),
keras.layers.Dense(1),
keras.layers.Dense(1),
keras.layers.Dense(10, activation=tf.nn.softmax)])

model.compile(optimizer= 'sgd',
          loss='sparse_categorical_crossentropy',
          metrics=['acc'])