tf.keras.utils.model_to_dot
Convert a Keras model to dot format.
tf.keras.utils.model_to_dot(
model,
show_shapes=False,
show_dtype=False,
show_layer_names=True,
rankdir='TB',
expand_nested=False,
dpi=200,
subgraph=False,
show_layer_activations=False,
show_trainable=False,
**kwargs
)
Args |
model
|
A Keras model instance.
|
show_shapes
|
whether to display shape information.
|
show_dtype
|
whether to display layer dtypes.
|
show_layer_names
|
whether to display layer names.
|
rankdir
|
rankdir argument passed to PyDot,
a string specifying the format of the plot: "TB"
creates a vertical plot; "LR" creates a horizontal plot.
|
expand_nested
|
whether to expand nested Functional models
into clusters.
|
dpi
|
Image resolution in dots per inch.
|
subgraph
|
whether to return a pydot.Cluster instance.
|
show_layer_activations
|
Display layer activations (only for layers that
have an activation property).
|
show_trainable
|
whether to display if a layer is trainable.
|
Returns |
A pydot.Dot instance representing the Keras model or
a pydot.Cluster instance representing nested model if
subgraph=True .
|
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Last updated 2024-06-07 UTC.
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