1 用keras对模型进行可视化

由于tensorflow2.0 和keras已经完全兼容了，直接用keras进行查看模型非常方便，然后用构建的模型进行可是化报错

可是化代码：

# tensorflow version 2.0
from tensorflow import keraskeras.utils.plot_model(keras.applications.ResNet50(include_top=True,input_shape=(224,224,3),weights=None), to_file='image_model.png', show_shapes=True)

然后运行报错：

错误：Failed to import pydot. You must install pydot and graphviz for pydotprint to work.

2 错误解决方式

1、在windows下错误的解决方式

这种解决方式在windows下不行，在其他平台下可以

pip install pydot
pip install graphviz

2、在windows下正确的解决方式

1、下载graphviz
在windows下不可以使用pip install graphviz 下载graphviz安装包，要去https://graphviz.gitlab.io/下载windows版本的安装包，安装好之后在环境变量中添加对应的路径即可！！！

2、安装pydotplus

pip install pydotplus

3、添加环境比变量

4、重启你的terminal或者编辑器
之后在运行正常，效果如下：

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windows错误：Failed to import pydot. You must install pydot and graphviz for `pydotprint` to work.