Created
May 18, 2020 17:07
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Code for my medium story Serve a Deep Learning Image Classification Model Written in TensorFlow 2 as a REST API and Dockerize it! (with GPU support)
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| loaded_model = tf.keras.models.load_model('../models/saved_image_classifier/') | |
| loss, acc = loaded_model.evaluate(X_test, y_test, verbose=0) | |
| print('Accuracy: {:5.2f}%'.format(100*acc)) |
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