Model visualization

The keras.utils.visualize_util module provides utility functions to plot a Keras model (using graphviz).

This will plot a graph of the model and save it to a file:

from keras.utils.visualize_util import plot
plot(model, to_file='model.png')

plot takes two optional arguments:

• recursive (defaults to True) controls whether we recursively explore container layers.
• show_shape (defaults to False) controls whether output shapes are shown in the graph.

You can also directly obtain the pydot.Graph object and render it yourself, for example to show it in an ipython notebook :

from IPython.display import SVG
from keras.utils.visualize_util import to_graph

SVG(to_graph(model).create(prog='dot', format='svg'))