Model visualization

The keras.utils.vis_utils 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 import plot_model
plot_model(model, to_file='model.png')

plot_model takes two optional arguments:

• show_shapes (defaults to False) controls whether output shapes are shown in the graph.
• show_layer_names (defaults to True) controls whether layer names 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 model_to_dot

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