How to use plot model in keras?

Question

I'm trying to draw the keras model with the plotmodel.

Setup:

I installed graphviz binaries with:

choco install graphviz

added path to the bin folder, and then I did:

pip install pydotplus
pip install graphviz

Code:

Getting this error when I try to execute:

from keras.models import Sequential
from keras.layers import Dense
from keras.utils.vis_utils import plot_model
model = Sequential()
model.add(Dense(2, input_dim=1, activation='relu'))
model.add(Dense(1, activation='sigmoid'))
plot_model(model, to_file='model_plot.png', show_shapes=True, show_layer_names=True)

Error:

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

Can someone suggest some alternative to draw the keras model? I need to implement this for a CNN.

Did you install them for the correct python interpreter your code is running for? If you are using python 3.x as interpreter for the code and using `pip install` to install for package, it will installed for Python 2.x. — Kiritee Gak, Jan 16 '18 at 03:02
I am using python 3.x for keras 2, i wanted to install for python 3. I tried conda install too, even that gives same error — Srihari, Jan 18 '18 at 14:31

score 1 · Answer 1 · edited Aug 15 '18 at 05:13

1

In addition to what you have already done, in my notebook I added two lines:

import os
os.environ["PATH"] += os.pathsep + 'C:/Program Files (x86)/Graphviz2.38/bin/'

(Source)

edited Aug 15 '18 at 05:13

Stephen Rauch

1,783
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answered Aug 14 '18 at 15:12

Supamee

111
3

could someone tell me the correct way to reference other stack exchange posts in an answer – Supamee Aug 14 '18 at 15:13

How to use plot model in keras?

Setup:

Code:

Error:

1 Answers1