Deep Learning Toolbox Model for AlexNet Network

Pretrained AlexNet network model for image classification
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Actualizado 13 Dec 2023

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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')

Compatibilidad con la versión de MATLAB
Se creó con R2016b
Compatible con cualquier versión desde R2016b hasta R2024a
Compatibilidad con las plataformas
Windows macOS (Apple Silicon) macOS (Intel) Linux

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