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by jicks 3121 days ago
It is actually very different:

- AutoML is used to automate the design of the ML model.

- Population-based trained is used to automate the choice of the hyperparameters (e.g. the rate of learning).

If you wanted to use both, you'd first use AutoML to find a good design for your problem, and then you'd use PBT when training your network.