'Failed to import pydot. You must `pip install pydot` and install graphviz

import pydot
import graphviz 
from keras.utils import plot_model

plot_model(model, to_file='model.png')

conda install -c https://conda.binstar.org/t/TOKEN/j14r pydot 
conda install -c https://conda.binstar.org/t/TOKEN/j14r graphviz


pydot 

 I used pip uninstall on all related packages, then:

pip install pydot
pip install pydotplus
pip install graphviz

pip install pydot-ng

Then:

• Download and install graphviz binaries from here
• Add path to graphviz bin folder in system PATH

Using TensorFlow 2.3.0 on Windows 10 without Anaconda, the following (finally) worked for me:

1. Install Graphviz 32 bit (64 bit didn't work)
2. Add Graphviz path C:\Program Files (x86)\Graphviz\bin to system's and user's PATH environment variables
3. Install pydot-ng which is the preferred pydot library used by TensorFlow 2.3.0

import keras
import pydot
import pydotplus
from pydotplus import graphviz
from keras.utils.vis_utils import plot_model
from keras.utils.vis_utils import model_to_dot
keras.utils.vis_utils.pydot = pydot

REF
https://stackoverflow.com/questions/47605558/importerror-failed-to-import-pydot-you-must-install-pydot-and-graphviz-for-py

 import tensorflow as tf

  input = tf.keras.Input(shape=(100,), dtype='int32', name='input')

  x = tf.keras.layers.Embedding(output_dim=512, input_dim=1000, input_length=100)(input)

  x = tf.keras.layers.LSTM(32)(x)

  x = tf.keras.layers.Dense(64, activation='relu')(x)

  output = tf.keras.layers.Dense(1, activation='sigmoid', name='output')(x)

  model = tf.keras.Model(inputs=[input], outputs=[output])

 

 

 

 REF

https://www.gcptutorials.com/article/how-to-plot-model-architecture-with-tf.keras.utils