Table 2.
Layer | Type | Filter size | No .of filters | stride |
---|---|---|---|---|
Input | 224x224x3 | |||
Conv_1 | CL + BN + ReLu | 3 × 3 | 64 | 1 × 1 |
MPL_1 | 2 × 2 | 2 × 2 | ||
Conv_2 | CL + BN + ReLu | 3 × 3 | 64 | 1 × 1 |
MPL_2 | 2 × 2 | 2 × 2 | ||
Conv_3 | CL + BN + ReLu | 3 × 3 | 32 | 1 × 1 |
MPL_3 | 2 × 2 | 2 × 2 | ||
Conv_4 | CL + BN + ReLu | 3 × 3 | 16 | 1 × 1 |
MPL_5 | 2 × 2 | 2 × 2 | ||
Conv_5 | CL + BN + ReLu | 3 × 3 | 8 | 1 × 1 |
Fully connected | Output size =3 | |||
Output | Classification layer | Soft-max |
BN Batch Normalization Layer