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 |