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2.3.5. Saving and Loading Model
Once you train a highly accurate model, Altera recommends that you save the model data for future use. Training a model consumes a lot of time, and the final accuracy can vary with each session. By saving the trained model, you can efficiently load it whenever you need it.
# Save Model model.save('lenet.keras') # Load Model model = tf.keras.models.load_model('lenet.keras')