Research Article
Extensible Embedded Processor for Convolutional Neural Networks
Table 1
Configuration 1: CNN model summary.
| Layer (type) | Original MSTAR model | Output shape | Parameters | Kernel size |
| conv2d_1 | 9 × 9 | (120, 120, 18) | 1476 | max_pooling2d_1 | 6 × 6 | (20, 20, 18) | 0 | conv2d_2 | 5 × 5 | (16, 16, 36) | 16236 | max_pooling2d_2 | 4 × 4 | (4, 4, 36) | 0 | conv2d_3 | 4 × 4 | (1, 1, 120) | 69240 | flatten_1 (flatten) | | (1, 120) | 0 | dense_1 (dense) | (1, 120) | 14520 | dense_2 (dense) | (1, 10) | 1210 |
| | Total parameters: | 102682 |
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