Repeats the input n times.
layer_repeat_vector(
object,
n,
batch_size = NULL,
name = NULL,
trainable = NULL,
weights = NULL
)
Model or layer object
integer, repetition factor.
Fixed batch size for layer
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.
Whether the layer weights will be updated during training.
Initial weights for layer.
2D tensor of shape (num_samples, features)
.
3D tensor of shape (num_samples, n, features)
.
Other core layers:
layer_activation()
,
layer_activity_regularization()
,
layer_attention()
,
layer_dense_features()
,
layer_dense()
,
layer_dropout()
,
layer_flatten()
,
layer_input()
,
layer_lambda()
,
layer_masking()
,
layer_permute()
,
layer_reshape()