layer_input: keras_input

Description

layer_input() is an alias for keras_input(). See ?keras_input() for the full documentation.

Usage

layer_input(
  shape = NULL,
  batch_size = NULL,
  dtype = NULL,
  sparse = NULL,
  batch_shape = NULL,
  name = NULL,
  tensor = NULL,
  optional = FALSE
)

Value

A Keras tensor, which can passed to the inputs argument of (keras_model()).

Arguments

shape: A shape list (list of integers or NULL objects), not including the batch size. For instance, shape = c(32) indicates that the expected input will be batches of 32-dimensional vectors. Elements of this list can be NULL or NA; NULL/NA elements represent dimensions where the shape is not known and may vary (e.g. sequence length).
batch_size: Optional static batch size (integer).
dtype: The data type expected by the input, as a string (e.g. "float32", "int32"...)
sparse: A boolean specifying whether the expected input will be sparse tensors. Note that, if sparse is FALSE, sparse tensors can still be passed into the input - they will be densified with a default value of 0. This feature is only supported with the TensorFlow backend. Defaults to FALSE.
batch_shape: Optional shape list (list of integers or NULL objects), including the batch size.
name: Optional name string for the layer. Should be unique in a model (do not reuse the same name twice). It will be autogenerated if it isn't provided.
tensor: Optional existing tensor to wrap into the Input layer. If set, the layer will use this tensor rather than creating a new placeholder tensor.
optional: Boolean, whether the input is optional or not. An optional input can accept NULL values.