It is useful in several ways if you can save your model during training a TensorFlow model. That saved model can be useful in many ways. If your model training gets hampered for any reason, you can get back and resume training where you left off if you have a saved copy of the last version.
Also, one model can be reused and retained for other purposes.
This tutorial shows in detail how you can save your model while training in TensorFlow and load it later.
Find the complete code in this link: github.com/rashida048/TensorF...
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