using datastore with trainNetwork

I'm trying to train mp3/wav files using yamnet, I've created an audioDataStore which load the files, then I transform it to get data that suits to Yamnet, and then I try to train it. I get the folowing error:

Invalid training data. Predictors must be a numeric array, a datastore, or a table. For networks with

sequence input, predictors can also be a cell array of sequences.

Can't I use transformedDataStore with trainNetwork?

This is my code:

net = yamnet;

DS = audioDatastore(FolderName, ...

'FileExtensions',{'.wav','.mp3'},"IncludeSubfolders",true,'LabelSource','foldernames');

TR = transform(DS,@(audio,info)preProcess(audio,info),"IncludeInfo",true);

options = trainingOptions("adam");

trainNetwork(net,TR,options)

function [data,info] = preProcess(audio,info)

data = yamnetPreprocess(audio,info.SampleRate);

end

Thanks

Answer 1

[Aylin]

Hello Noam, maybe the trainNetwork inputs are in the wrong order? The datastore should be first, followed by the layers and the options. Does this work better?

trainNetwork(TR,net,options)

Rylan

[Noam]

my bad, actually chaniging to:

trainNetwork(TR,net.Layers,options) do the work.

Thanks!

[Noam]

i added a following question:

https://www.mathworks.com/matlabcentral/answers/1908330-input-datastore-returned-more-than-one-observation-per-row-for-network-input-1