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