Deep Learning Toolbox Model for AlexNet Network
Pretrained AlexNet network model for image classification
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Actualizado
19 jun 2024
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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')
Compatibilidad con la versión de MATLAB
Se creó con
R2016b
Compatible con cualquier versión desde R2016b hasta R2024b
Compatibilidad con las plataformas
Windows macOS (Apple Silicon) macOS (Intel) LinuxCategorías
- 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 > Image Data Workflows >
- AI, Data Science, and Statistics > Deep Learning Toolbox > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Define Shallow Neural Network Architectures >
Más información sobre Recognition, Object Detection, and Semantic Segmentation en Help Center y MATLAB Answers.
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Inspiración para: Read the indicator value using Deep Learning, ディープラーニングで画像からメーター値を読み取る
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