layer_repeat_vector: Repeats the input n times.

In keras: R Interface to 'Keras'

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

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.

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(), layer_dense_features(), layer_dropout(), layer_flatten(), layer_input(), layer_lambda(), layer_masking(), layer_permute(), layer_reshape()

keras documentation built on May 29, 2024, 3:20 a.m.