Hi, sorry about noob question.
I am trying to adapt the TrainNetworkOnImageAndFeatureDataExample.mlx to my use case. I my use case I only have the training image data and the categories, the "X2Train" feature input is absent. Thus my layers now look as follows:
[h,w,numChannels,numObservations] = size(trainData);
numFeatures = 1;
numClasses = numel(categories(trainLabels));
imageInputSize = [h w numChannels];
filterSize = 5;
numFilters = 16;
layers = [
imageInputLayer(imageInputSize,Normalization="none")
convolution2dLayer(filterSize,numFilters)
batchNormalizationLayer
reluLayer
fullyConnectedLayer(50)
flattenLayer
fullyConnectedLayer(numClasses)
softmaxLayer
classificationLayer
];
%concatenationLayer(1,2,Name="cat")
lgraph = layerGraph(layers);
When running the trainNetwork I get an error:
observationDim should be either 2, 3, 4 or 5
But I have no clue whatsoever what I need to change here.
