When does Matlab consider a Neural Network deep?

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Annette Mai
Annette Mai on 26 Jan 2021
Commented: Walter Roberson on 30 Jan 2021
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?
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Walter Roberson
Walter Roberson on 30 Jan 2021
"Deep" for Neural Network seems to be much the same as "deep" for philosophy:
  1. It claims to encompass pretty much everything
  2. Hardly anybody really understands the logic behind it

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Answers (1)

Rohit Pappu
Rohit Pappu on 29 Jan 2021
trainNetwork works with Deep Learning Layers. Additional Information can be found here
  2 Comments
Annette Mai
Annette Mai on 29 Jan 2021
I want to map a nonlinear equation with a NN. I´ve got data like in my other exampel a and b as Inputs and c as the resulting output. How could I load this data into the Deep Network Designer? All the examples seem to be about image processing.

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