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Is this idea to calculate the required number of hidden neurons for a single hidden layer neural network correct?
I have an idea to find the optimal number of hidden neurons required in a neural network, but I'm not sure how accurate it is.
Assuming that it has only 1 hidden layer, it is a classification problem ...
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