summary.keras.engine.training.Model: Print a summary of a Keras model

In keras: R Interface to 'Keras'

Print a summary of a Keras model

Description

Print a summary of a Keras model

Usage

## S3 method for class 'keras.engine.training.Model'
summary(object, ...)

## S3 method for class 'keras.engine.training.Model'
format(
  x,
  line_length = width - (11L * show_trainable),
  positions = NULL,
  expand_nested = FALSE,
  show_trainable = x$built && as.logical(length(x$non_trainable_weights)),
  ...,
  compact = TRUE,
  width = getOption("width")
)

## S3 method for class 'keras.engine.training.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.
compact	Whether to remove white-space only lines from the model summary. (Default TRUE)
width	the column width to use for printing.

Value

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

See Also

Other model functions: compile.keras.engine.training.Model(), evaluate.keras.engine.training.Model(), evaluate_generator(), fit.keras.engine.training.Model(), fit_generator(), get_config(), get_layer(), keras_model(), keras_model_sequential(), multi_gpu_model(), pop_layer(), predict.keras.engine.training.Model(), predict_generator(), predict_on_batch(), predict_proba(), train_on_batch()

keras documentation built on May 29, 2024, 3:20 a.m.