How to create a fitnet neural network with multiple hidden layers?

I am new to using the machine learning toolboxes of MATLAB (but loving it so far!)

From a large data set I want to fit a neural network, to approximate the underlying unknown function. I have used the “Neural Net Fitting” app and generated a script with it which builds and trains my network. It all works, however the results are not good enough. I think the network is not complex enough to cover the non-linearities. So, I figued I’d add another hidden layer, but I can’t get it to work.

The current code to produce the network is the following (which is the default):

trainFcn = 'trainlm';  % Levenberg-Marquardt backpropagation.% Create a Fitting Network
hiddenLayerSize = 10;
net = fitnet(hiddenLayerSize, trainFcn);

How would I modify this to add more hidden layers?

I am looking to get the classical Multi-Layer Perceptron (MLP) network, with potentially even more hidden layers:

ANSWER

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You can add more hidden layers as shown below:

trainFcn = 'trainlm';  % Levenberg-Marquardt backpropagation.
% Create a Fitting Network
hiddenLayer1Size = 10;
hiddenLayer2Size = 10;
net = fitnet([hiddenLayer1Size hiddenLayer2Size], trainFcn);

This creates network of 2 hidden layers of size 10 each.

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