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Question: How can you save and load a TensorFlow model?
Answer: A TensorFlow model can be saved using the tf.keras.models.save_model method. It can be loaded using the tf.keras.models.load_model method for further use or deployment.

Example:

model.save('saved_model.h5')
loaded_model = tf.keras.models.load_model('saved_model.h5')

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