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Neural Network Toolbox Model for VGG-19 Network

Pretrained VGG-19 network model for image classification

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VGG-19 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) by the Visual Geometry Group at University of Oxford (http://www.robots.ox.ac.uk/~vgg/research/very_deep/).
The model has 19 layers and can classify images into 1000 object categories (e.g. keyboard, mouse, coffee mug, pencil).
Opening the vgg19.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 R2017a and beyond.

Usage Example:
% Load the trained model
net = vgg19()

% 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 VGG-19
label = classify(net, I);

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

Comments and Ratings (5)

zhang

zhang (view profile)

FU Jinlong

cui

cui (view profile)

good

cui

cui (view profile)

非常好,值得学习!

I was wondering if there is a way to install this package on the HPC (using command line)? Thanks a heap in advance!

Updates

Updated description.

MATLAB Release
MATLAB 9.2 (R2017a)

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