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[R] Learning multiplication outside of training data range

I want to train an MLP to multiply two inputs. The easiest approach is to generate a vast dataset of numbers and their multiplication and train the network on them.

I did this as a test and the MLP worked nearly flawless and long as I gave it numbers inside the training range but as soon as I deviated from the training domain the network started malfunctioning.

I wanted to know if there is an architecture which can learn the semantics of multiplication and act properly outside its training domain.

Thanks

submitted by /u/neltherion
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.