How to predict the number of epochs a neural network needs for pattern recognition ? Also, how do I decide about the other parameters such as learning rate, momentum constant, etc? Is it by trial and error?
I am working on an OCR project and the images for my training are like the ones shown in the question below :-
1. Use as many default values as possible. 2. To minimize the number of hidden nodes, H, outer loop over H = 0:dH:Hmax and inner loop over ntrial = 1:Ntrials the number of weight initialization trials for each value of H.
Hope this helps
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