How can I compile a pre-trained neural network into a standalone application using the MATLAB Compiler 4.10 (R2009a)?
Show older comments
The MATLAB Compiler 4.10 (R2009a) support for MATLAB and Toolboxes at the following web-link suggests that I can compile a pre-trained neural network:
http://www.mathworks.com/products/compiler/compiler_support.html
Accepted Answer
MathWorks Support Team
on 1 Aug 2024
Edited: MathWorks Support Team
on 1 Aug 2024
The following script sets up the creation of a pre-trained network and stores it in a MAT-file ('pre_trained_net.mat').
clc
clear all
close all
P = [1 2 3 4 5];
T = [1 2 3 4 3];
net = newff(P,T,5);
net.trainParam.epochs = 50;
net = train(net,P,T);
save pre_trained_net net
The following function utilizing the pre-trained network can be compiled into a stand-alone application:
function compiled_network(input)
% Include Neural Network Toolbox dependencies.
% web([docroot '/toolbox/compiler/function.html'])
%#function network
% Load data.
load pre_trained_net
if ischar(input)
input=str2num(input);
end
output = sim(net,input)
plot(input,output,'o')
The following command may be used to compile the above function into a stand-alone application:
mcc -m compiled_network
The compiled application may be called from the system command line as follows to generate output for new input:
compiled_network([1,2,3,4,5])
For your convenience, find attached 'pre_trained_net.mat' and 'compiled_network.exe'. The executable was compiled using MATLAB Compiler 4.10 (R2009a) on Windows XP. These files can always be created as described earlier.
More Answers (0)
Categories
Find more on MATLAB Compiler in Help Center and File Exchange
on 22 Jan 2010
on 1 Aug 2024
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
