I really wish we had a better understanding of how the "learning" is supposed to work. I taught my son to drive, so I could probably teach this thing, too, if I knew how.
Since it's complicated, here's a great example video (23 years old!) about using neural networks to drive a vehicle. Things are different now, but the concepts are the same. We handle more features, we centralize processing, and our networks are much deeper (this one is only 3 layers deep). But you'll see how the confidence rises and falls depending on what the network sees. This is when AP would give you alerts.
Short video, but a classic and a decent introduction to the very basic concepts involved in this type of learning.
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