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nasnetmobile

(Not recommended) Pretrained NASNet-Mobile convolutional neural network

  • NASNet-Mobile network architecture

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

Description

NASNet-Mobile is a convolutional neural network that is trained on more than a million images from the ImageNet database [1]. The 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 = nasnetmobile returns a pretrained NASNet-Mobile convolutional neural network.

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

example

Examples

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Download and install the Deep Learning Toolbox Model for NASNet-Mobile Network support package.

Type nasnetmobile at the command line.

nasnetmobile

If the Deep Learning Toolbox Model for NASNet-Mobile 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 nasnetmobile at the command line. If the required support package is installed, then the function returns a DAGNetwork object.

nasnetmobile
ans = 

  DAGNetwork with properties:

         Layers: [914×1 nnet.cnn.layer.Layer]
    Connections: [1073×2 table]

Visualize the network using Deep Network Designer.

deepNetworkDesigner(nasnetmobile)

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 NASNet-Mobile convolutional neural network, returned as a DAGNetwork object.

References

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

[2] Zoph, Barret, Vijay Vasudevan, Jonathon Shlens, and Quoc V. Le. “Learning Transferable Architectures for Scalable Image Recognition.” Preprint, submitted in 2017. https://doi.org/10.48550/ARXIV.1707.07012.

Extended Capabilities

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Version History

Introduced in R2019a

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