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论文阅读——EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
时间 2020-12-31
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神经网络
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EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Abstract 卷积神经网络常受限于计算资源,如果资源足够的情况下可通过缩放网络进一步提升网络性能。本文则系统性的研究了如何平衡网络深度、宽度、分辨率综合性对网络进行缩放,提升网路哦性能。 基于前期试验结果提出了复合缩放策略(Compound sca
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论文阅读:EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
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