Neural Network Last Layer Shows a Different Number of Outputs

So I have the following inputs and outputs with their respective dimenions

input: 521 x 21048

output: 15 x 21048

So basically I have 15 classes, and the network should tell me what class the input belongs to.

This is the network's configuration:

trainFcn = 'trainscg';

hiddenLayerSize = ([10 5]);
net = patternnet(hiddenLayerSize, trainFcn);

net.input.processFcns = {'removeconstantrows','mapminmax'};

net.divideFcn = 'dividerand';  % Divide data randomly
net.divideMode = 'sample';  % Divide up every sample
net.divideParam.trainRatio = 90/100;
net.divideParam.valRatio = 5/100;
net.divideParam.testRatio = 5/100;

net.performFcn = 'crossentropy';  % Cross-Entropy

net.plotFcns = {'plotperform','plottrainstate','ploterrhist', ...
   'plotconfusion', 'plotroc'};

[net,tr] = train(net,x,t);

However, when I view the network, it always shows the output player with "13" outputs instead of 15!

This does not happen when I use the GUI to train the network. But as soon as I use the advanced scipt (even with the same configurations I set in the GUI) I still get 13 in the output layer, whether it is 1 layer or multiple ones.

[Greg Heath]

I still get 15 with

close all, clear all, clc

x = randn( 521, 21048);

t = rand( 15, 21048);

YOUR CODE

view(net)

HOPE THIS HELPS

GREG

[Nour Aburaed]

I have just figured out the problem. I have no inputs that yield to classes 10 and 5, which makes the network skip them and just stick to 13 classes. Thank you for taking time to help!

Answer 1

[Greg Heath]

Line 2: target, not output

trainFcn is undefined.

I get 15, not 13 in the figure

Hope this helps.

Thank you for formally accepting my answer

Greg

[Nour Aburaed]

1- I am writing "output" in the decription only, in order to be consistent with the figure shown.

2- trainFcn is defined in my code. I will add it to my post. (otherwise the code wouldn't run to begin with)

3- I get 13. Not 15. The layer right before the last shows 13, inconsistent with the final output I am supposed to get.