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A no-input two-output deterministic optimization problem is a "neural network"? What are the parameters? What would the layers possibly do if there's more than
by remram 5y ago
A no-input two-output deterministic optimization problem is a "neural network"? What are the parameters? What would the layers possibly do if there's more than one?
edit: I remember playing a game where the opponent was a neural network. A real one, as the game was one where the opponent had to react in real-time (pong? brickanoid? I can't remember). The twist was that the neural network was physically there so you could hurt its learning by hitting its connections with the ball. Anyone remembers that one?
- atum47 5y agohttps://github.com/victorqribeiro/bangBang/blob/master/js/main.js#L24 https://github.com/victorqribeiro/bangBang/blob/master/js/ma... 4 inputs, 2 hidden, 2 output
- mellavora 5y agoYes it is. A professor of mine might even have considered it an appropriate toy network, the kind where you can solve it in your head to develop an intuition as to how it might scale. In this case, however, it is no toy, this is serious survival of the species kind of stuff. And I for one am eternally grateful that it is a no-input two-output deterministic optimization. Hail to our new robot overlords!