layer_global_average_pooling_1d: Global average pooling operation for temporal data.

In dfalbel/keras: R Interface to 'Keras'

Description

Global average pooling operation for temporal data.

Usage

layer_global_average_pooling_1d(
  object,
  data_format = "channels_last",
  batch_size = NULL,
  name = NULL,
  trainable = NULL,
  weights = NULL
)

Arguments

object	Model or layer object
data_format	One of channels_last (default) or channels_first. The ordering of the dimensions in the inputs.
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_size, steps, features).

Output shape

2D tensor with shape: (batch_size, channels)

See Also

Other pooling layers: layer_average_pooling_1d(), layer_average_pooling_2d(), layer_average_pooling_3d(), layer_global_average_pooling_2d(), layer_global_average_pooling_3d(), layer_global_max_pooling_1d(), layer_global_max_pooling_2d(), layer_global_max_pooling_3d(), layer_max_pooling_1d(), layer_max_pooling_2d(), layer_max_pooling_3d()

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