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Help me fix this shit.

Kalyx ######

File: 1523385027309.jpg (59.65 KB, 1170x660, Artificial-Neural-Network.jpg)


Imagine the neural network (NN) as a black box inside a space with internal functions, inputs, and outputs. All its outputs are dependent on the inputs with a unique idea: auto-training.

Inside the software, every possible function points in the direction of the existence of the network. As for its intelligence, it's undeterminable, an open question. But the human brain, whose intelligence is very high, can be investigated for patterns.


got some more advanced reading material senpai?
some kind of fundamentals in designing these, or more complex examples with the actual models attached/illustrated?

I'm always stuck with just piling in more and more nodes, but I understand a big part here is connecting multiple simple NNs together, but nobody online seems to care about actually implementing these, instead they rant about how cool they are.

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