Save a trained neural network for Raspberry

I have loaded AlexNet and retrained the neural network using my own images. When I run the script it it does everything properly and trains the NN properly. The new trained NN is saved to the workspace as myNet as as a .mat file. I was wondering if it's possible to save it as an .M file so I can deploy it to a Raspberry PI 4.

clc;
clear all;
close all;

alex = alexnet; % Load Neural Network AlexNet
layers = alex.Layers; %Identify Layers in Alexnet 

layers(23) = fullyConnectedLayer(6); %Six Unique Images will be identified at Layer 23
layers(25) = classificationLayer %Layer 25 is the Classification Layer and properly identifies the object 

allImages = imageDatastore('robot','IncludeSubfolders', true, 'LabelSource', 'foldernames'); % Identifies the images that are stored are the computer and the labels associated with them
[trainingImages, testImages] = splitEachLabel(allImages, 0.8, 'randomized'); % seperates the files into different groups for training and validation. (80% for training and 20% for validation)

opts = trainingOptions("sgdm", 'InitialLearnRate', 0.001, 'MaxEpochs', 5, 'MiniBatchSize', 64, 'Plots','training-progress'); % Different options for training the Neural Network
myNet = trainNetwork(trainingImages, layers,opts); %Will save the trained network based off AlexNet as myNet

predictedLabels = classify(myNet, testImages); % This will identify images using the trained network by using the validation images
accuracy = mean(predictedLabels ==testImages.Labels) % This will display a percentage of how accurate the model is at identifying the images.

camera = webcam; % Connect to the camera
while true   
    picture = camera.snapshot;              % Take a picture using connected Camera
    picture = imresize(picture,[227,227]);  % Resize the picture to 277x277 Pixel size
    label = classify(myNet, picture);        % Classify the picture
       
    image(picture);     % Displays the picture
    title(char(label)); % Shows the label above the picture
    drawnow; % Continuously updates image from Webcam
end

[yanqi liu]

yes，sir，i think mat file include weight data，if use m file，may be only the layers structure

[David Duran]

So what would be the best way to tranfer the trained NN to a Raspberry PI? I have watched the videos provided by MATLAB, but they are pulling the untrained neural networks from the Program files.

i.e. the code

edit_raspi_webcam_resnet

Answer 1

[Prince Kumar]

Hi,

Please look at the following MATLAB answers:

• https://www.mathworks.com/matlabcentral/answers/1621010-how-to-deploy-custom-deep-learning-model-in-raspberry-pi-4
• https://www.mathworks.com/matlabcentral/answers/487789-deploy-deep-nueral-network-to-raspberry-pi?s_tid=answers_rc1-1_p1_Topic

Hope this helps.

[David Duran]

Thank you

Answer 2

[Yazan]

Hi@David Duran,

I have the same problem; did you find a solution.

Can you share your solution please, I have another question, how did you manage to turn your Matlab code into a function?

Thank you