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Table 3 Architecture of the network U

From: Convolutional bag of words for diabetic retinopathy detection from eye fundus images

Layer Filter size, stride Output size
Input - 64 × 64 × 1
Conv-ReLU 5 ×5, 1 60 × 60 × 16
Max-pool 2 ×2, 2 30 × 30 × 16
Conv-ReLU 3 ×3, 1 28 × 28 × 16
Max-pool 2 ×2, 2 14 × 14 × 16
Conv-ReLU 3 ×3, 1 12 × 12 × 16
Max-pool 2 ×2, 2 6 × 6 × 16
Conv-ReLU 3 ×3, 1 4 × 4 × 16
Max-pool 2 ×2, 2 2 × 2 × 16
Flatten - 64
FC-Softmax - 32