, 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