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Table 1 The configuration of imagenet-vgg-f. convi denotes the i-th convolutional layer

From: Deep multimodal fusion for ground-based cloud classification in weather station networks

Config. Receptive fields Stride Padding Filter banks
conv1 11×11 4 0 64
Max pooling
conv2 5×5 1 2 256
Max pooling
conv3 3×3 1 1 256
conv4 3×3 1 1 256
conv5 3×3 1 1 256
Max pooling
Neurons
fc6 4096
fc7 4096
fc8 1000