EfficientNet
EfficientNet 模型基于 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 论文。
模型构建器
以下模型构建器可用于实例化 EfficientNet 模型,无论是否预训练权重。所有模型构建器内部都依赖于 torchvision.models.efficientnet.EfficientNet 基类。有关此类详细信息,请参阅 源代码。
efficientnet_b0(*[, weights, progress])
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来自 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 论文的 EfficientNet B0 模型架构。 |
efficientnet_b1(*[, weights, progress])
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来自 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 论文的 EfficientNet B1 模型架构。
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efficientnet_b2(*[, weights, progress])
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来自 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 论文的 EfficientNet B2 模型架构。
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efficientnet_b3(*[, weights, progress])
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来自 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 论文的 EfficientNet B3 模型架构。
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efficientnet_b4(*[, weights, progress])
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来自 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 论文的 EfficientNet B4 模型架构。
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efficientnet_b5(*[, weights, progress])
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来自 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 论文的 EfficientNet B5 模型架构。
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efficientnet_b6(*[, weights, progress])
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来自 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 论文的 EfficientNet B6 模型架构。
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efficientnet_b7(*[, weights, progress])
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来自 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 论文的 EfficientNet B7 模型架构。
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