- Input shape: (32, 32, 3)
- Label shape: (10)
- Input shape: (32, 32, 3)
- Label shape: (10)
| Layer | Output Shape | Connected to |
|---|---|---|
| input_1 | (?, 32, 32, 3) |
| Layer | Output Shape | Connected to |
|---|---|---|
| conv2d_1 | (?, 32, 32, 16) | input_1 |
| batch_normalization_1 | (?, 32, 32, 16) | conv2d_1 |
| activation_1 | (?, 32, 32, 16) | batch_normalization_1 |
| conv2d_2 | (?, 32, 32, 16) | activation_1 |
| batch_normalization_2 | (?, 32, 32, 16) | conv2d_2 |
| activation_2 | (?, 32, 32, 16) | batch_normalization_2 |
| conv2d_3 | (?, 32, 32, 16) | activation_2 |
| batch_normalization_3 | (?, 32, 32, 16) | conv2d_3 |
| add_1 | (?, 32, 32, 16) | activation_1, batch_normalization_3 |
| activation_3 | (?, 32, 32, 16) | add_1 |
| max_pool_1 | (?, 16, 16, 16) | activation_3 |
| Layer | Output Shape | Connected to |
|---|---|---|
| conv2d_4 | (?, 16, 16, 32) | max_pool_1 |
| batch_normalization_4 | (?, 16, 16, 32) | conv2d_4 |
| activation_4 | (?, 16, 16, 32) | batch_normalization_4 |
| conv2d_5 | (?, 16, 16, 32) | activation_4 |
| batch_normalization_5 | (?, 16, 16, 32) | conv2d_5 |
| activation_5 | (?, 16, 16, 32) | batch_normalization_5 |
| conv2d_6 | (?, 16, 16, 32) | activation_5 |
| batch_normalization_6 | (?, 16, 16, 32) | conv2d_6 |
| add_2 | (?, 16, 16, 32) | activation_4, batch_normalization_6 |
| activation_6 | (?, 16, 16, 32) | add_2 |
| max_pool_2 | (?, 8, 8, 32) | activation_6 |
| Layer | Output Shape | Connected to |
|---|---|---|
| conv2d_7 | (?, 8, 8, 64) | max_pool_2 |
| batch_normalization_7 | (?, 8, 8, 64) | conv2d_7 |
| activation_7 | (?, 8, 8, 64) | batch_normalization_7 |
| conv2d_8 | (?, 8, 8, 64) | activation_7 |
| batch_normalization_8 | (?, 8, 8, 64) | conv2d_8 |
| activation_8 | (?, 8, 8, 64) | batch_normalization_8 |
| conv2d_9 | (?, 8, 8, 64) | activation_8 |
| batch_normalization_9 | (?, 8, 8, 64) | conv2d_9 |
| add_3 | (?, 8, 8, 64) | activation_7, batch_normalization_9 |
| activation_9 | (?, 8, 8, 64) | add_3 |
| avg_pool_1 | (?, 1, 1, 64) | activation_9 |
| Layer | Output Shape | Connected to |
|---|---|---|
| flatten_1 | (?, 64) | avg_pool_1 |
| dense_1 | (?, 10) | flatten_1 |
| softmax_1 | (?, 10) | dense_1 |
- Average train cost: 0.073 (at 30 epoch)
- Train accuracy: 0.9800 (at 30 epoch)
- Test accuracy: 0.8037 (at 30 epoch)