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DBNN are actually mainstream, the issue being they have the same failure modes while also being slow to train. We just do not know how high level structure of
by AstralStorm 8y ago
DBNN are actually mainstream, the issue being they have the same failure modes while also being slow to train.
We just do not know how high level structure of a mind looks, best we have is some sort of data compression entropy model. That's obviously not enough.
Adversarial training model is probably closer (e.g. A3C) but it's not detailed enough either.
Value and policy loss are extremely blunt tools to evaluate an actor or critic, for example
- Macuyiko 8y agoTotally agree. Except I didn't know DBNN are mainstream. That is, in research they're obviously well known, though I've personally not yet encountered industry settings (companies different from the tech unicorns, that is) that utilize them or even think about these problems. They often end up using the latest well-known architecture (like YOLO) in TensorFlow. That said, we mostly work with retailers and finance-insurance (non-US). Would be interested to know if your experience differs and in which industries.