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Number of Neurons in a model

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Arijit on 16 Dec 2011
Hi everyone,
I have another confusion
Is there any thumb rule or relation between number of neurons in hidden layer and input variables? suppose, I have a data set with 10 input variables. By hit and trial method, how many neurons maximum can I try? I understand that as number of neurons increase, correlation and mse also improves. But at same time, network gets overtrained. How can I be sure that I am not overtraining the network?

Answers (1)

Ahmad Taher
Ahmad Taher on 19 Jan 2012
Dear Colleague
If you have 10 input variables, I suggest to start with 10 neurons and try different numbers to 20 neurons and then select the best numbers with least MSE.

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