VGG11 is one of the VGG-Nets family proposed by K. Simonyan and A. Zisserman in 2014, it has 8 convolutional layers and 3 fully connected layers.
|Model |Download |Top-1 accuracy (%) |Top-5 accuracy (%) | |-----------------|:------------------------ --------|:------------------|:------------------| | VGG11 | 507M | 69.02 | 88.63 |
- VGG11 is from the paper titled Very Deep Convolutional Networks for Large-Scale Image Recognition
- Source of the model please refer to pytorch official website and github repository
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