Deep Learning Toolbox Model for Inception-ResNet-v2 Network

Pretrained Inception-ResNet-v2 network model for image classification

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更新 2023/9/13

Inception-ResNet-v2 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 825 layers in total, and can classify images into 1000 object categories (e.g. keyboard, mouse, pencil, and many animals).
Opening the inceptionresnetv2.mlpkginstall file from your operating system or from within MATLAB will initiate the installation process for the release you have.
Usage Example:
net = inceptionresnetv2()

% Read the image to classify
I = imread('peppers.png');

% Crop image to the input size of the network
sz = net.Layers(1).InputSize
I = I(1:sz(1), 1:sz(2), 1:sz(3));

% Classify the image using Inception-ResNet-v2
label = classify(net, I)

% Show the image and classification result
text(10, 20, char(label), 'Color', 'white' )

MATLAB リリースの互換性
作成: R2017b
R2017b 以降 R2023b 以前と互換性あり
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