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This is the best resource that I've found to clarify this:
Built-in algorithms: computer vision algorithms support checkpointing (Object Detection, Semantic Segmentation, and very soon Image Classification). As they tend to train on large data sets and run for longer than other algorithms, they have a higher likelihood of being interrupted. Other built-in algorithms do not support checkpointing for now.
Also:
Please note that TensorFlow uses checkpoints by default. For other frameworks, you’ll find examples in our sample notebooks and in the documentation.
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