layer_repeat_vector
Repeats the input n times.
Description
Repeats the input n times.
Usage
layer_repeat_vector(
object,
n, batch_size = NULL,
name = NULL,
trainable = NULL,
weights = NULL
)
Arguments
Arguments | Description |
---|---|
object | What to compose the new Layer instance with. Typically a Sequential model or a Tensor (e.g., as returned by layer_input() ). The return value depends on object . If object is: - missing or NULL , the Layer instance is returned. - a Sequential model, the model with an additional layer is returned. - a Tensor, the output tensor from layer_instance(object) is returned. |
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. |
Section
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_attention()
, layer_dense_features()
, layer_dense()
, layer_dropout()
, layer_flatten()
, layer_input()
, layer_lambda()
, layer_masking()
, layer_permute()
, layer_reshape()