How can I compile a pre-trained neural network into a standalone

Neeta Dsouza answered . 2024-12-21 17:37:07

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.

Not satisfied with the answer ?? ASK NOW