Neural network training function error modulo a number
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How can I tell neural network training function to compute the error modulo a number.? For example if my targets are angles in degrees and the desired is 359 but the predictor gave me 2 degrees, the error is large (359-2)^2. How can you tell neural network to treat 2 as 360-2, such that the error is now (359-358)^2?
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Greg Heath
2018-4-10
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The simplest function that makes perfect sense is the corresponding squared Euclidean distance between corresponding points on the unit circle.
Other than taking the square root to obtain linear distance, I see no reason to waste computation to use any other function of distance,
Hope this helps.
Thank you for formally accepting my answer
Greg
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2018-4-10
2018-4-10
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