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
)Shape, not including the batch size. For instance,
shape=c(32) indicates that the expected input will be batches
of 32-dimensional vectors.
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.
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.
The data type expected by the input, as a string (float32,
float64, int32...)
Boolean, whether the placeholder created is meant to be sparse.
Existing tensor to wrap into the Input layer. If set, the
layer will not create a placeholder tensor.
A tensor
Other core layers:
layer_activation(),
layer_activity_regularization(),
layer_attention(),
layer_dense_features(),
layer_dense(),
layer_dropout(),
layer_flatten(),
layer_lambda(),
layer_masking(),
layer_permute(),
layer_repeat_vector(),
layer_reshape()