讀書筆記：Large-scale Vedio Classification with Convolutional Neural Networks
主要點：一是設計了不同結構的CNN來學習視頻分類。二是設計了一種加速訓練的方法。 不同結構的CNN 修改網絡結構以加速訓練 不同結構的CNN Single Fusion ： 和圖片分類沒有區別 Early Fusion : 在第一層的卷積中，就直接將輸入幀全部融合，相當於將卷積擴展爲三維。 Late Fusion ： 每隔一定的幀數，抽取兩幀，每幀的處理步驟與Single Fusion相同，但在全
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相關文章
- 1. alexnet筆記（ImageNet Classification with Deep Convolutional Neural Networks）
- 2. ImageNet Classification with Deep Convolutional Neural Networks
- 3. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks
- 4. Convolutional Neural Networks for Sentence Classification 閱讀筆記
- 5. ImageNet Classification with Deep Convolutional Neural Networks -- 解讀
- 6. 讀文獻——《ImageNet classification with deep convolutional neural networks》
- 7. ImageNet Classification With Deep Convolutional Neural Networks閱讀筆記
- 8. ImageNet Classification with Deep Convolutional Neural Networks-AlexNet閱讀筆記
- 9. 《Bag of Tricks for Image Classification with Convolutional Neural Networks》論文閱讀筆記
- 10. Bag of Tricks for Image Classification with Convolutional Neural Networks閱讀筆記