Inception-v2和Inception-v3来源论文《Rethinking the Inception Architecture for Computer Vision》读后总结
Inception-v2和Inception-v3来源论文《Rethinking the Inception Architecture for Computer Vision》读后总结 前言 文章主要内容 更详细的对卷积的分解进行了解释和说明，并且提出了向量化的卷积 使用了特殊的正则化 设计了升级版的Inception模型 分析了低分辨率输入的性能并表示即使是低分辨率的输入也能拥有不输于高分辨率的
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- 1. Rethinking the Inception Architecture for Computer Vision
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- 3. 【InceptionnetV3】Rethinking the Inception Architecture for Computer Vision摘要
- 4. GoogleNetV3 Rethinking the Inception Architecture for Computer Vision
- 5. 论文阅读：Rethinking the Inception Architecture for Computer Vision
- 6. Inception V3 -- 《Rethinking the Inception Architecture for Computer Vision》论文笔记
- 7. 《Inception V3-Rethinking the Inception Architecture for Computer Vision》论文笔记
- 8. Rethinking the Inception Architecture for Computer Vision(2015)论文综述
- 9. 论文笔记——Rethinking the Inception Architecture for Computer Vision
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相关文章
- 1. Rethinking the Inception Architecture for Computer Vision
- 2. Rethinking the Inception Architecture for Computer Vision-Inception-V3
- 3. 【InceptionnetV3】Rethinking the Inception Architecture for Computer Vision摘要
- 4. GoogleNetV3 Rethinking the Inception Architecture for Computer Vision
- 5. 论文阅读：Rethinking the Inception Architecture for Computer Vision
- 6. Inception V3 -- 《Rethinking the Inception Architecture for Computer Vision》论文笔记
- 7. 《Inception V3-Rethinking the Inception Architecture for Computer Vision》论文笔记
- 8. Rethinking the Inception Architecture for Computer Vision(2015)论文综述
- 9. 论文笔记——Rethinking the Inception Architecture for Computer Vision
- 10. Inception系列2_Rethinking the Inception Architecture for Computer Vision