How to add more than one hidden layer?
32 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Pratibha
am 1 Apr. 2015
Kommentiert: Marco Pizzoli
am 8 Jun. 2021
I need to use feedforwardnet to classify the images and also have train the NN in 3 levels.
Is it possible to add 3 hidden layers to feedforwardnet?
0 Kommentare
Akzeptierte Antwort
Vinod Sudheesh
am 1 Apr. 2015
Yes, it is possible to create a "feedforward neural network" with three hidden layers using the "feedforwardnet" function. This can be achieved by passing a vector of hidden layer sizes as the argument to the "feedforwardnet" function.
>> net=feedforwardnet([10 11 12]);
>> view(net);
6 Kommentare
Greg Heath
am 17 Feb. 2019
A linear function does not need a hidden layer.
A nonlinear function needs no more than one.
However some nonlinear functions are more conveniently represented by two or more hidden layers.
There is an inherent degree of approximation for bounded piecewise continuous functions. Trying to force a closer fit by adding higher order terms (e.g., adding additional hidden nodes )often leads to instability.
You can test the stability of different designs with a different no. of hidden nodes. by comparing their performance as increasing levels of noise are added to the input.
Hope this helps.
Thank you for formally accepting my answer
Greg
Marco Pizzoli
am 8 Jun. 2021
Hi Greg,
I am very curious about your observation on the minimum number of necessary hidden nodes. In this regard I have a question: what do you mean by target vs input plot? Because, I can imagine finding the local maxima of the time series of the target or input (taken separately), but not on the graph that considers them together. I apologize in advance for my stupid question.
Best regards,
Marco
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Deep Learning Toolbox finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!