Deep Learning ToolboxTM Model for ShuffleNet Network

Pretrained ShuffleNet model for image classification

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更新 2023/9/13

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.

Usage Example:

% 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:

MATLAB リリースの互換性
作成: R2019a
R2019a 以降 R2023b 以前と互換性あり
Windows macOS (Apple silicon) macOS (Intel) Linux
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