[7]. The network is composed of eight layers in total. The first two are convolutional layers with 64 filters of 3 × 3. After each of these layers, a 2 × 2 max-pooling was applied, and the subsequent two layers are locally connected with 64 filters of 1 × 1 each; for these ...