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Table 1 Structure of GoogLeNet network

From: Ancient mural classification methods based on a multichannel separable network

Layer type Patch size/stride Output size
Convolutional 7 × 7/2 112 × 112 × 64
Max pooling 3 × 3/2 56 × 56 × 64
Convolutional 3 × 3/1 56 × 56 × 192
Max pooling 3 × 3/2 28 × 28 × 192
Inception (3a)   28 × 28 × 256
Inception (3b)   28 × 28 × 480
Max pooling 3 × 3/2 14 × 14 × 480
Inception (4a)   14 × 14 × 512
Inception (4b)   14 × 14 × 512
Inception (4c)   14 × 14 × 512
Inception (4d)   14 × 14 × 528
Inception (4e)   14 × 14 × 832
Max pooling 3 × 3/2 7 × 7 × 832
Inception (5a)   7 × 7 × 832
Inception (5b)   7 × 7 × 1024
Avg pooling 7 × 7/2 1 × 1 × 1024
Dropout (40%)   1 × 1 × 1024
Softmax with loss