ShuffleNet is a pretrained model that has been trained on a subset of the ImageNet database. The model is trained on more than a million images and can classify images into 1000 object categories (e.g. keyboard, mouse, pencil, and many animals).
Opening the shufflenet.mlpkginstall file from your operating system or from within MATLAB will initiate the installation process for the release you have.
This mlpkginstall file is functional for R2019a and beyond.
% Access the trained model
net = shufflenet ();
% See details of the architecture
% Read the image to classify
I = imread('peppers.png');
% Adjust size of the image
sz = net.Layers(1).InputSize
I = I(1:sz(1),1:sz(2),1:sz(3));
% Classify the image using shufflenet
label = classify(net, I)
% Show the image and the classification results
For additional information, please refer documentation: https://www.mathworks.com/help/deeplearning/ref/shufflenet.html
I wanna look up the function: helperNnetShufflenetLayerChannelShufflingLayer to see how can it shuffles the inputs.
But "help helperNnetShufflenetLayerChannelShufflingLayer" or "open helperNnetShufflenetLayerChannelShufflingLayer" didn't work.