I want to use a feedforward NN (FFNN) with at least two hidden layers. This is no problem with the feedforwardnet function. I also can train the net with the train function, where it says "Train shallow neural network". In most literature I read, a shallow NN is defiend as a NN with only one hidden layer and a deep NN is one with more than one hidden layer. For deep NNs Mathworks recomends trainNetwork as a train function. But I was not able to train my FFNN with this function.
So where does Mathworks draw the line between shallow and deep NNs? Or is there a way to train my FFNN with trainNetwork?