Create neural network to predict global pattern of a misspelled word (input) with 2 categorical strings as outputs
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Hi Matlab staff !
I'm trying to create a neural network that detect misspelling in a single word given as input. I have only two output possibles.
For exemple I would like my network to predict that "swiming" (input) is actually "swimming" (and not "diving"). In the same way, I would like to predict that "dving" correspond to "diving" and not to "swimming".
Do you know special design tool or special Matlab function to create these kind of neural network ? (I don't even know if it is possible to use a neural network for this purpose).
I'm a beginner and I already tried to use the trainNetwork() function, but my network don't learn during the training (He stays at a loss of 70%).
Thanks a lot in advance for your help!
Nico
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