layer_upsampling_1d: Upsampling layer for 1D inputs.

In dfalbel/keras: R Interface to 'Keras'

Description

Repeats each temporal step size times along the time axis.

Usage

layer_upsampling_1d(
  object,
  size = 2L,
  batch_size = NULL,
  name = NULL,
  trainable = NULL,
  weights = NULL
)

Arguments

object	Model or layer object
size	integer. Upsampling 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

3D tensor with shape: (batch, steps, features).

Output shape

3D tensor with shape: (batch, upsampled_steps, features).

See Also

Other convolutional layers: layer_conv_1d(), layer_conv_2d_transpose(), layer_conv_2d(), layer_conv_3d_transpose(), layer_conv_3d(), layer_conv_lstm_2d(), layer_cropping_1d(), layer_cropping_2d(), layer_cropping_3d(), layer_depthwise_conv_2d(), layer_separable_conv_1d(), layer_separable_conv_2d(), layer_upsampling_2d(), layer_upsampling_3d(), layer_zero_padding_1d(), layer_zero_padding_2d(), layer_zero_padding_3d()

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