Table 2 Summary of the proposed FireXnet model
Layer (type) | Output shape | Parameters |
|---|---|---|
input_15 (Input Layer) | (None, 224, 224, 3) | 0 |
block1_conv1_ (Conv2D) | (None, 224, 224, 64) | 1792 |
block1_conv2_ (Conv2D) | (None, 224, 224, 64) | 36928 |
block1_pool_ (MaxPooling2D) | (None, 112, 112, 64) | 0 |
block2_conv1_ (Conv2D) | (None, 112, 112, 128) | 73856 |
block2_conv2_ (Conv2D) | (None, 112, 112, 128) | 147584 |
block2_pool_ (MaxPooling2D) | (None, 56, 56, 128) | 0 |
block3_conv1_ (Conv2D) | (None, 56, 56, 256) | 295168 |
block3_conv2_ (Conv2D) | (None, 56, 56, 256) | 590080 |
block3_conv3_ (Conv2D) | (None, 56, 56, 256) | 590080 |
block3_pool_ (MaxPooling2D) | (None, 28, 28, 256) | 0 |
global_average_pooling2d_10_ | (None, 1, 1, 256) | 0 |
batch_normalization_42_ | (None, 1, 1, 256) | 1024 |
flatten_14 (Flatten) | (None, 256) | 0 |
dense_42 (Dense) | (None, 128) | 32896 |
batch_normalization_43_ | (None, 128) | 512 |
dropout_34_ (Dropout) | (None, 128) | 0 |
dense_43_ (Dense) | (None, 32) | 4128 |
batch_normalization_44_ | (None, 32) | 128 |
dropout_35_ (Dropout) | (None, 32) | 0 |
dense_44_ (Dense) | (None, 4) | 132 |