如何用Keras可视化神经网络架构？

Question

我尝试了以下方法:

#!/usr/bin/env python

import keras
from keras.models import model_from_yaml

model_file_path = 'model-301.yaml'
weights_file_path = 'model-301.hdf5'

# Load network
with open(model_file_path) as f:
    yaml_string = f.read()
model = model_from_yaml(yaml_string)
model.load_weights(weights_file_path)
model.compile(optimizer='adagrad', loss='binary_crossentropy')

# Visualize
from keras.utils.visualize_util import plot

但是,这会产生错误:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/moose/.local/lib/python2.7/site-packages/keras/utils/visualize_util.py", line 7, in <module>
    if not pydot.find_graphviz():
AttributeError: 'module' object has no attribute 'find_graphviz'

我怎样才能解决这个问题？

注意:可以在Github上找到hdf5和YAML文件.

Answer 1

如果您尚未安装pydotpython 包 - 尝试安装它。如果您pydot重新安装应该有助于解决您的问题。