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)

Arguments

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.

A tensor