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nasnetlarge

(Not recommended) Pretrained NASNet-Large convolutional neural network

  • NASNet-Large network architecture

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

Description

NASNet-Large 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 331-by-331. For more pretrained networks in MATLAB®, see Pretrained Deep Neural Networks.

net = nasnetlarge returns a pretrained NASNet-Large convolutional neural network.

This function requires the Deep Learning Toolbox™ Model for NASNet-Large 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-Large Network support package.

Type nasnetlarge at the command line.

nasnetlarge

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

nasnetlarge
ans = 

  DAGNetwork with properties:

         Layers: [1244×1 nnet.cnn.layer.Layer]
    Connections: [1463×2 table]

Visualize the network using Deep Network Designer.

deepNetworkDesigner(nasnetlarge)

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-Large 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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