keras: layer_input – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

layer_input

Input layer

Layer to be used as an entry point into a graph.

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

`shape`	Shape, not including the batch size. For instance, `shape=c(32)` indicates that the expected input will be batches of 32-dimensional vectors.
`batch_shape`	Shape, including the batch size. For instance, `shape = c(10,32)` indicates that the expected input will be batches of 10 32-dimensional vectors. `batch_shape = list(NULL, 32)` indicates batches of an arbitrary number of 32-dimensional vectors.
`name`	An 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.
`dtype`	The data type expected by the input, as a string (`float32`, `float64`, `int32`...)
`sparse`	Boolean, whether the placeholder created is meant to be sparse.
`tensor`	Existing tensor to wrap into the `Input` layer. If set, the layer will not create a placeholder tensor.
`ragged`	A boolean specifying whether the placeholder to be created is ragged. Only one of 'ragged' and 'sparse' can be `TRUE` In this case, values of 'NULL' in the 'shape' argument represent ragged dimensions.

A tensor