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DOes this 2500-cpu-hr cover the ENTIRE learning process?

Lets even your first run is crap, and you try again with RGB instead of YUV or whatever. So you do 4 runs.

So 10000-cpu-hours replace a week of work of a qualified ML engineer. This is pretty amazing. If i understand correctly.

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I'm not sure about the exact details, but that's my understanding too. It is very exciting. This is directly replacing a week of work (if not more!) of a qualified ML engineer. Additionally, as all of the experiments are cheap (being run on a single CPU) you can run them on the cheap, interruptible, cloud instances, and it's not the end of the world if you need to restart some experiments.

This is also not mature science- there's still a lot of active research being done on AutoML- so there's still a lot of potential for improvement.

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