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No, I'm saying that a neural network can learn addition.

See, a bayesian cannot really understand that there are relations between two numbers (like "is bigger than" or "is the following number of"), but a neural network can, since addition is part of a NN.

My personal recommendation on machine learning is 'Pattern Recognition and Machine Learning' by Chris Bishop. But you definately do need a solid mathematical background for that.



Where would the idea of "is bigger than" or "is the following number of" come from if not from the person who creates the network?


Training examples.


Computers can form concepts, really?


If you want them to learn a specific concept that we know, they can learn it, yes.




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