Deep Learning Toolbox Model for AlexNet Network

by MathWorks Deep Learning Toolbox Team
Pretrained AlexNet network model for image classification
4.5
(125)
58K Downloads
Updated 20 Mar 2024

Editor's Note: Popular File 2017 2018 2019 2020

This file was selected as MATLAB Central Pick of the Week

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 Release Compatibility
Created with R2016b
Compatible with R2016b to R2024a
Platform Compatibility
Windows macOS (Apple silicon) macOS (Intel) Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!