nntool: after training output matrix size is less than training matrix size
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Hi, when I am training any network using nntool, the generated output matrix size is not equal to the target matrix size, so plotconfusion is not working.
For e.g. if I trained an input 30x227) alongwith a target (3x227), I am getting the network1_outputs (3x137) which is less than the target (3x227), so plotconfusion giving errors.
I tried for several networks like (Cascade, Feed-Forward, Layer Recurrent etc.)
Thanks in advance.
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Greg Heath
2013 年 4 月 17 日
Not enough information to hazard a guess.
If it occurs using code, post the code.
Greg
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