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. Author manuscript; available in PMC: 2018 Nov 13.
Published in final edited form as: Proc Int Jt Conf Neural Netw. 2018 Sep 15;2018:10.1109/IJCNN.2018.8489440. doi: 10.1109/IJCNN.2018.8489440

TABLE 3.

Pre-trained Vgg-s CNN architecture

Arch. Conv 1 Conv 2 Conv 3 Conv 4 Conv 5 Full 1 Full 2 Full 3
Vgg-S 64×11×11 256×5×5 512×3×3 512×3×3 512×3×3 4096 4096 1000
st. 4, pad 0 st. 1, pad 1 st. 1, pad 1 st. 1, pad 1 st. 1, pad 1 dropout dropout softmax
LRN, ×3 pool ×2 pool ×3 pool