Deep Learning Toolbox Model for AlexNet Network
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更新2022/3/9
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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.
Usage Example:
% Access the trained model
net = 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
label = classify(net, I)
% Show the image and the classification results
figure
imshow(I)
text(10,20,char(label),'Color','white')
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- Image Processing and Computer Vision>Computer Vision Toolbox>Recognition, Object Detection, and Semantic Segmentation>
- AI, Data Science, and Statistics>Deep Learning Toolbox>Get Started with Deep Learning Toolbox>
- AI, Data Science, and Statistics>Deep Learning Toolbox>Deep Learning with Images>
- AI, Data Science, and Statistics>Deep Learning Toolbox>Function Approximation, Clustering, and Control>Function Approximation and Clustering>Define Shallow Neural Network Architectures>
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