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.
  3 个评论
LRBLFAST
LRBLFAST 2013-4-16
Dear Mr. Greg Heath,
Kindly reply to this question. Why I am getting such kind of error? I understand that it may be a very basic problem. But actually I need to use nntool to revise some of our work in which we trained the data manually using nntool. When I am training after writing codes, our results are different than the old one. So thought should we go back to the old procedure and train....but getting this problem.
Please reply

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回答(1 个)

Greg Heath
Greg Heath 2013-4-17
Not enough information to hazard a guess.
If it occurs using code, post the code.
Greg

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