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xception

(Not recommended) Xception convolutional neural network

  • Xception network architecture

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

Description

Xception is a convolutional neural network that is 71 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 299-by-299. For more pretrained networks in MATLAB®, see Pretrained Deep Neural Networks.

net = xception returns an Xception network trained on the ImageNet data set.

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

example

net = xception('Weights','imagenet') returns an Xception network trained on the ImageNet data set. This syntax is equivalent to net = xception.

lgraph = xception('Weights','none') returns the untrained Xception network architecture. The untrained model does not require the support package.

Examples

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Download and install the Deep Learning Toolbox Model for Xception Network support package.

Type xception at the command line.

xception

If the Deep Learning Toolbox Model for Xception 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 xception at the command line. If the required support package is installed, then the function returns a DAGNetwork object.

xception
ans = 

  DAGNetwork with properties:

         Layers: [171×1 nnet.cnn.layer.Layer]
    Connections: [182×2 table]

Visualize the network using Deep Network Designer.

deepNetworkDesigner(xception)

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 Xception convolutional neural network, returned as a DAGNetwork object.

Untrained Xception convolutional neural network architecture, returned as a LayerGraph object.

References

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

[2] Chollet, François. “Xception: Deep Learning with Depthwise Separable Convolutions.” Preprint, submitted in 2016. https://doi.org/10.48550/ARXIV.1610.02357.

Extended Capabilities

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Version History

Introduced in R2019a

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