train a Neural network with different input output sizes
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Hi, I would like to train a Neural Network (pattern-recognition) where I have vectors of 500 points (input) each belong to single output value.
The input vectors of 500 points are a timeseries, contains the Info about a sharp peak on a certain posistion which belongs a single Value.
So how to tran a network where I have hundrets of
Inputs (1x500) and outputs (1x1).
Thx,
Chris
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