Print a summary of a Keras Model

Print a summary of a Keras Model

Usage

# S3 method for keras.src.models.model.Model
summary(object, ...)

# S3 method for keras.src.models.model.Model
format(
  x,
  line_length = getOption("width"),
  positions = NULL,
  expand_nested = FALSE,
  show_trainable = NA,
  ...,
  layer_range = NULL,
  compact = TRUE
)

# S3 method for keras.src.models.model.Model
print(x, ...)

Arguments

object, x

Keras model instance

...

for summary() and print(), passed on to format(). For format(), passed on to model$summary().

line_length

Total length of printed lines

positions

Relative or absolute positions of log elements in each line. If not provided, defaults to c(0.33, 0.55, 0.67, 1.0).

expand_nested

Whether to expand the nested models. If not provided, defaults to FALSE.

show_trainable

Whether to show if a layer is trainable. If not provided, defaults to FALSE.

layer_range

a list, tuple, or vector of 2 strings, which is the starting layer name and ending layer name (both inclusive) indicating the range of layers to be printed in summary. It also accepts regex patterns instead of exact name. In such case, start predicate will be the first element it matches to layer_range[[1]] and the end predicate will be the last element it matches to layer_range[[1]]. By default NULL which considers all layers of model.

compact

Whether to remove white-space only lines from the model summary. (Default TRUE)

Value

format() returns a length 1 character vector. print() returns the model object invisibly. summary() returns the output of format()

invisibly after printing it.

Enabling color output in Knitr (RMarkdown, Quarto)

In order to enable color output in a quarto or rmarkdown document with an html output format (include revealjs presentations), then you will need to do the following in a setup chunk:

 ```{r setup, include = FALSE}
 options(cli.num_colors = 256)
 fansi::set_knit_hooks(knitr::knit_hooks)
 options(width = 75) # adjust as needed for format
 ```

See also

Other model functions:
get_config()
get_layer()
keras_model()
keras_model_sequential()
pop_layer()