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Deep Learning Toolbox Model for Inception-v3 Network

Pretrained Inception-v3 network model for image classification


Updated 11 Sep 2019

Inception-v3 is a pretrained model that has been trained on a subset of the ImageNet database. The model is trained on more than a million images, has 316 layers in total, and can classify images into 1000 object categories (e.g. keyboard, mouse, pencil, and many animals).
Opening the inceptionv3.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 R2017b and beyond.
Usage Example:
% Access the trained model
net = inceptionv3();
% See details of the architecture
% 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 Resnet-50
label = classify(net, I)
% Show the image and the classification results

Comments and Ratings (4)

I have the following error after installation of the inception model
>> inceptionv3
Error using load
Cannot read file

Error in inceptionv3 (line 63)
data = load(matfile);
How can I fix that, please? I checked the .mat file exists

bryant cao


MATLAB Release Compatibility
Created with R2017b
Compatible with R2017b to R2019b
Platform Compatibility
Windows macOS Linux