| , padding='same', kernel_initializer='he_normal')(block9_conv1) | |
| block10_conv1 = Conv2D(64, 3, activation='relu', padding='same', kernel_initializer='he_normal')(block9_conv2) | |
| block10_conv2 = Conv2D(1, 1, activation='sigmoid')(block10_conv1) | |
| model = Model(inputs=vgg16_model.input, outputs=block10_conv2) | |
| return model |