This guide walks through TensorFlow's model checkpointing system—how to save, restore, and inspect models using both tf.keras APIs and tf.train.Checkpoint. It covers auto and manual saving, loading mechanics, deferred variable restores, object tracking, and low-level checkpoint inspection.
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