Table 2.
MobileNet Transfer Learning summary.
Layer Type | Output Shape | Param |
---|---|---|
mobilenet_1.00_224 (Functional) | (None, 7, 7, 1024) | 3,228,864 |
global_average_pooling2d | (None, 1024) | 0 |
dropout (Dropout) | (None, 1024) | 0 |
dense (Dense) | (None, 1024) | 1,049,600 |
dense_1 (Dense) | (None, 1024) | 1,049,600 |
dense_2 (Dense) | (None, 512) | 524,800 |
dense_3 (Dense) | (None, 512) | 262,656 |
dense_4 (Dense) Total params: 6,118,085 Trainable params: 2,889,221 |
(None, 5) | 2565 |
Non-trainable params: 3,228,864 |