layer_repeat_vector: Repeats the input n times.

In dfalbel/keras: R Interface to 'Keras'

Description

Repeats the input n times.

Usage

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_features(), layer_dense(), layer_dropout(), layer_flatten(), layer_input(), layer_lambda(), layer_masking(), layer_permute(), layer_reshape()

dfalbel/keras documentation built on Nov. 27, 2019, 8:16 p.m.