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vgg19

(Not recommended) VGG-19 convolutional neural network

  • VGG-19 network architecture

vgg19 is not recommended. Use the imagePretrainedNetwork function instead and specify the "vgg19" model. For more information, see Version History.

Description

VGG-19 is a convolutional neural network that is 19 layers deep. You can load a pretrained version of the network trained on more than a million images from the ImageNet database [1]. The pretrained network can classify images into 1000 object categories, such as keyboard, mouse, pencil, and many animals. As a result, the network has learned rich feature representations for a wide range of images. The network has an image input size of 224-by-224. For more pretrained networks in MATLAB®, see Pretrained Deep Neural Networks.

net = vgg19 returns a VGG-19 network trained on the ImageNet data set.

This function requires Deep Learning Toolbox™ Model for VGG-19 Network support package. If this support package is not installed, then the function provides a download link.

example

net = vgg19('Weights','imagenet') returns a VGG-19 network trained on the ImageNet data set. This syntax is equivalent to net = vgg19.

layers = vgg19('Weights','none') returns the untrained VGG-19 network architecture. The untrained model does not require the support package.

Examples

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This example shows how to download and install Deep Learning Toolbox Model for VGG-19 Network support package.

Type vgg19 at the command line.

vgg19

If Deep Learning Toolbox Model for VGG-19 Network support package is not installed, then the function provides a link to the required support package in the Add-On Explorer. To install the support package, click the link, and then click Install. Check that the installation is successful by typing vgg19 at the command line.

vgg19
ans = 

  SeriesNetwork with properties:

    Layers: [47×1 nnet.cnn.layer.Layer]

Visualize the network using Deep Network Designer.

deepNetworkDesigner(vgg19)

Explore other pretrained neural networks in Deep Network Designer by clicking New.

Deep Network Designer start page showing available pretrained neural networks

If you need to download a neural network, pause on the desired neural network and click Install to open the Add-On Explorer.

Output Arguments

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Pretrained VGG-19 convolutional neural network returned as a SeriesNetwork object.

Untrained VGG-19 convolutional neural network architecture, returned as a Layer array.

References

[1] ImageNet. http://www.image-net.org.

[2] Russakovsky, O., Deng, J., Su, H., et al. “ImageNet Large Scale Visual Recognition Challenge.” International Journal of Computer Vision (IJCV). Vol 115, Issue 3, 2015, pp. 211–252

[3] Simonyan, Karen, and Andrew Zisserman. “Very Deep Convolutional Networks for Large-Scale Image Recognition.” Preprint, submitted in 2014. https://doi.org/10.48550/ARXIV.1409.1556.

[4] Very Deep Convolutional Networks for Large-Scale Visual Recognition http://www.robots.ox.ac.uk/~vgg/research/very_deep/

Extended Capabilities

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Version History

Introduced in R2017a

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