VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
论文：Very Deep Convolutional Networks for Large-Scale Image Recognition 该篇文章介绍了卷积网络深度在大规模图像识别环境中对其准确性的影响。 它主要贡献是使用具有非常小（3×3）卷积滤波器的体系结构对增加深度的网络进行全面评估，这表明将深度推至16-19重量可以实现对现有技术配置的重大改进 层，它公开提供了两个性能最佳的ConvNe
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相关文章
- 1. VGG--VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
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- 4. VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 5. Very Deep Convolutional Networks for Large-Scale Image Recognition
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- 10. [VGG论文详解](2014)Very Deep Convolutional Networks For Large-Scale Image Recognition