Deep Learning Toolbox Model for AlexNet Network

作者: MathWorks Deep Learning Toolbox Team
Pretrained AlexNet network model for image classification
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更新时间 2024/12/11

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AlexNet is a pretrained Convolutional Neural Network (CNN) that has been trained on approximately 1.2 million images from the ImageNet Dataset (http://image-net.org/index). The model has 23 layers and can classify images into 1000 object categories (e.g. keyboard, mouse, coffee mug, pencil).
Opening the alexnet.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 R2016b and beyond. Use alexnet instead of imagePretrainedNetwork if using a release prior to R2024a.
Usage Example:
% Access the trained model
[net, classes] = imagePretrainedNetwork("alexnet");
% See details of the architecture
net.Layers
% 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 AlexNet
scores = predict(net, single(I));
label = scores2label(scores, classes)
% Show the image and the classification results
figure
imshow(I)
text(10,20,char(label),'Color','white')
MATLAB 版本兼容性
创建方式 R2016b
兼容 R2016b 到 R2025a 的版本
平台兼容性
Windows macOS (Apple 芯片) macOS (Intel) Linux

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