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# ResNeXt

The ResNext model is based on the Aggregated Residual Transformations for Deep Neural Networks paper.

## Model builders

The following model builders can be used to instantiate a ResNext model, with or without pre-trained weights. All the model builders internally rely on the `torchvision.models.resnet.ResNet` base class. Please refer to the source code for more details about this class.

`resnext50_32x4d`(*[, weights, progress]) | ResNeXt-50 32x4d model from Aggregated Residual Transformation for Deep Neural Networks.
`resnext101_32x8d`(*[, weights, progress]) | ResNeXt-101 32x8d model from Aggregated Residual Transformation for Deep Neural Networks.
`resnext101_64x4d`(*[, weights, progress]) | ResNeXt-101 64x4d model from Aggregated Residual Transformation for Deep Neural Networks.

## Docs

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## Tutorials

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## Resources

Find development resources and get your questions answered

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