Research Article
Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks
Table 1
Parameter specification in All-Conv model.
| Layers | Operations | Feature maps | Size of feature maps | Size of kernels | Number of parameters |
| Inputs | | 32 × 32 × 3 | | | | C1 | Convolution | 128 | 30 × 30 | 3 × 3 | 3,456 | C2 | Convolution | 128 | 28 × 28 | 3 × 3 | 147,456 | S1 | Max-pooling | 128 | 14 × 14 | 2 × 2 | N/A | C3 | Convolution | 256 | 12 × 12 | 3 × 3 | 294,912 | C4 | Convolution | 256 | 10 × 10 | 3 × 3 | 589,824 | S2 | Max-pooling | 256 | 5 × 5 | 2 × 2 | N/A | C5 | Convolution | 512 | 3 × 3 | 3 × 3 | 1,179,648 | C6 | Convolution | 512 | 3 × 3 | 1 × 1 | 262,144 | GAP1 | GAP | 512 | 3 × 3 | N/A | N/A | Outputs | Softmax | 10 | 1x1 | N/A | 5,120 |
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