- 研究背景
- investigate the effect of the convolutional network depth on its
accuracy
- investigate the effect of the convolutional network depth on its
- 创新点
- a thorough evaluation of networks of increasing depth using an architecture with very small (3×3) convolution filters
-
算法框架
VGG - 实现细节
- 3个3×3卷积核相比1个7×7卷积核的优势
- make the decision function morediscriminative by incorporating three non-linear rectification layers
- decrease the number of parameters
- 网络D比C更具优势的原因
- while the additional non-linearity does help (C is better than B), it is also important to capture spatial context by using conv. filters with non-trivial receptive fields (D is better than C)
- 3个3×3卷积核相比1个7×7卷积核的优势
2019-05-28-VGG（Very Deep Convolutional Networks for Large-Scale Image Recognition）
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