How can I plot a neural network?

Say I created a neural network, such as net = feedforwardnet(30);, which I trained [net tr] = train(net,p,t);
How can I plot this neural network? I would like something like:
(I'm especially interested in having the weights displayed on the graph)
Thanks, Franck

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Greg Heath
Greg Heath 2013-1-23

0 个投票

The only NNTBX display that is available is
view(net)
However, perhaps you can find something online.
Hope this helps.
Thank you for accepting my answer.
Greg

1 个评论

Thanks for your answer, view() was indeed the only function I could find… But I'm surprised there is no existing code for such a common task. Maybe some function to output the network to a .dot file that we would give to GraphViz?

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更多回答(3 个)

Yashwant Kolluru
Yashwant Kolluru 2018-7-12

0 个投票

[a,b] = train(net,x,t); y = net(x); e = gsubtract(t,y); %%%%%%%%%%%%%%%%%%% figure, plotperform(b); figure, plottrainstate(b); figure, ploterrhist(e); figure, plotregression(t,y);
hope it helps

0 个投票

Hello, with the latest Matlab version 2019b, you are availed with a wide range of functions that can do this job for you. With my program for neural network modeling, i added some lines of code that also plot the best neural network. You can start by checking out the "line" and "viscircles" functions in the Matlab documentation. These can help you with what you want to plot. Below is a sample plot output from my code, of the best network i was designing. With added work, you can modify the lines to visualize the magnitude and direction of the weights, remove the axis bars, and many other things that you would like to do.
Regards,
Fred
neural.png
Sajjad Shawl
Sajjad Shawl 2022-6-5

0 个投票

hi
have a look at this code from matlab exchange
quite usefull
Call the function to plot FNN: plotFNN(layersLength), where layersLength is a 1*n row vector containing the number of neurons in each layer.
https://www.mathworks.com/matlabcentral/fileexchange/87287-plot-feedforward-neural-networks), MATLAB Central File Exchange. Retrieved June 5, 2022.

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