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 instantiate 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])
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EfficientNet B0 model architecture from the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper. |
efficientnet_b1(*[, weights, progress])
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EfficientNet B1 model architecture from the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper.
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efficientnet_b2(*[, weights, progress])
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EfficientNet B2 model architecture from the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper.
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efficientnet_b3(*[, weights, progress])
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EfficientNet B3 model architecture from the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper.
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efficientnet_b4(*[, weights, progress])
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EfficientNet B4 model architecture from the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper.
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efficientnet_b5(*[, weights, progress])
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EfficientNet B5 model architecture from the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper.
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efficientnet_b6(*[, weights, progress])
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EfficientNet B6 model architecture from the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper.
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efficientnet_b7(*[, weights, progress])
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EfficientNet B7 model architecture from the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper.
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