layer_repeat_vector: Repeats the input n times.

Description Usage Arguments Input shape Output shape See Also

View source: R/layers-core.R

Description

Repeats the input n times.

Usage

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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.