確認２：VGG16と全結合層を結合した学習用のモデルを出力。
```
Layer (type) Output Shape Param #
input_1 (InputLayer) (None, 150, 150, 3) 0
block1_conv1 (Conv2D) (None, 150, 150, 64) 1792
block1_conv2 (Conv2D) (None, 150, 150, 64) 36928
block1_pool (MaxPooling2D) (None, 75, 75, 64) 0
block2_conv1 (Conv2D) (None, 75, 75, 128) 73856
block2_conv2 (Conv2D) (None, 75, 75, 128) 147584
block2_pool (MaxPooling2D) (None, 37, 37, 128) 0
block3_conv1 (Conv2D) (None, 37, 37, 256) 295168
block3_conv2 (Conv2D) (None, 37, 37, 256) 590080
block3_conv3 (Conv2D) (None, 37, 37, 256) 590080
block3_pool (MaxPooling2D) (None, 18, 18, 256) 0
block4_conv1 (Conv2D) (None, 18, 18, 512) 1180160
block4_conv2 (Conv2D) (None, 18, 18, 512) 2359808
block4_conv3 (Conv2D) (None, 18, 18, 512) 2359808
block4_pool (MaxPooling2D) (None, 9, 9, 512) 0
block5_conv1 (Conv2D) (None, 9, 9, 512) 2359808
block5_conv2 (Conv2D) (None, 9, 9, 512) 2359808
block5_conv3 (Conv2D) (None, 9, 9, 512) 2359808
block5_pool (MaxPooling2D) (None, 4, 4, 512) 0
sequential_1 (Sequential) (None, 17) 2101777
Total params: 16,816,465
Trainable params: 9,181,201
Non-trainable params: 7,635,264
```