estimator_8.py

# Instantiate a Keras inception v3 model.
keras_inception_v3 = tf.keras.applications.inception_v3.InceptionV3(weights=None)

keras_inception_v3.compile(optimizer=tf.keras.optimizers.SGD(lr=0.0001, momentum=0.9),
                          loss='categorical_crossentropy',
                          metric='accuracy')
                          
est_inception_v3 = tf.keras.estimator.model_to_estimator(keras_model=keras_inception_v3)

train_input_fn = tf.estimator.inputs.numpy_input_fn(
    x={"input_1": train_data},
    y=train_labels,
    num_epochs=1,
    shuffle=False)

est_inception_v3.train(input_fn=train_input_fn, steps=2000)