Repeats the input n times.
layer_repeat_vector(
object,
n,
batch_size = NULL,
name = NULL,
trainable = NULL,
weights = NULL
)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.
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()