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Deep Learning ToolboxTM Model for NASNet-Mobile Network

Pretrained NasNet-Mobile network model for image classification

13 Downloads

Updated 11 Sep 2019

NasNet-Mobile 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 and can classify images into 1000 object categories (e.g. keyboard, mouse, pencil, and many animals).

Opening the nasnetmobile.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 R2019a and beyond.

Usage Example:

% Access the trained model
net = nasnetmobile();

% 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 nasnetmobile
label = classify(net, I)

% Show the image and the classification results
figure
imshow(I)
text(10,20,char(label),'Color','white')

Comments and Ratings (1)

can not install this model

MATLAB Release Compatibility
Created with R2019a
Compatible with R2019a to R2019b
Platform Compatibility
Windows macOS Linux