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EfficientNet

The EfficientNet model is based on the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper.

Model builders

The following model builders can be used to instanciate an EfficientNet model, with or without pre-trained weights. All the model builders internally rely on the torchvision.models.efficientnet.EfficientNet base class. Please refer to the source code for more details about this class.

efficientnet_b0(*[, weights, progress])

EfficientNet B0 model architecture from the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper.

efficientnet_b1(*[, weights, progress])

EfficientNet B1 model architecture from the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper.

efficientnet_b2(*[, weights, progress])

EfficientNet B2 model architecture from the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper.

efficientnet_b3(*[, weights, progress])

EfficientNet B3 model architecture from the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper.

efficientnet_b4(*[, weights, progress])

EfficientNet B4 model architecture from the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper.

efficientnet_b5(*[, weights, progress])

EfficientNet B5 model architecture from the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper.

efficientnet_b6(*[, weights, progress])

EfficientNet B6 model architecture from the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper.

efficientnet_b7(*[, weights, progress])

EfficientNet B7 model architecture from the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper.

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