How can a neural network architecture be visualized with Keras?
I tried the following:
#!/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
However, this gives an error:
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'
How can I fix this?
Note: The hdf5 and the YAML file can be found on Github.
The problem is also referenced on the issues page of the keras project. You need to install a version of pydot <= 1.1.0 because the function find_graphviz was removed in version 1.2.0. Alternatively you could install pydot-ng instead, which is recommended by the keras developers.
If you have not already installed pydot python package - try to install it. If you have pydot reinstallation should help with your problem.