nntool: after training output matrix size is less than training matrix size

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.

[LRBLFAST]

Hi, Still waiting a response for the above question....

[LRBLFAST]

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

[Elaheh arj]

Hi, I have the same problem, Did you manage to solve it? Thanks

Answer 1

[Greg Heath]

Not enough information to hazard a guess.

If it occurs using code, post the code.

Greg