Inception-v2和Inception-v3來源論文《Rethinking the Inception Architecture for Computer Vision》讀後總結
Inception-v2和Inception-v3來源論文《Rethinking the Inception Architecture for Computer Vision》讀後總結 前言 文章主要內容 更詳細的對卷積的分解進行了解釋和說明，並且提出了向量化的卷積 使用了特殊的正則化 設計了升級版的Inception模型 分析了低分辨率輸入的性能並表示即使是低分辨率的輸入也能擁有不輸於高分辨率的
相關文章
- 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. 論文閱讀：Rethinking the Inception Architecture for Computer Vision
- 6. Inception V3 -- 《Rethinking the Inception Architecture for Computer Vision》論文筆記
- 7. 《Inception V3-Rethinking the Inception Architecture for Computer Vision》論文筆記
- 8. Rethinking the Inception Architecture for Computer Vision(2015)論文綜述
- 9. 論文筆記——Rethinking the Inception Architecture for Computer Vision
- 10. Inception系列2_Rethinking the Inception Architecture for Computer Vision
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相關文章
- 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. 論文閱讀：Rethinking the Inception Architecture for Computer Vision
- 6. Inception V3 -- 《Rethinking the Inception Architecture for Computer Vision》論文筆記
- 7. 《Inception V3-Rethinking the Inception Architecture for Computer Vision》論文筆記
- 8. Rethinking the Inception Architecture for Computer Vision(2015)論文綜述
- 9. 論文筆記——Rethinking the Inception Architecture for Computer Vision
- 10. Inception系列2_Rethinking the Inception Architecture for Computer Vision