keras: layer_average_pooling_1d – R documentation

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keras

layer_average_pooling_1d

Average pooling for temporal data.

Description

Average pooling for temporal data.

Usage

layer_average_pooling_1d(
  object,
  pool_size = 2L,
  strides = NULL,
  padding = "valid",
  data_format = "channels_last",
  batch_size = NULL,
  name = NULL,
  trainable = NULL,
  weights = NULL
)

Arguments

`object`	Model or layer object
`pool_size`	Integer, size of the average pooling windows.
`strides`	Integer, or NULL. Factor by which to downscale. E.g. 2 will halve the input. If NULL, it will default to `pool_size`.
`padding`	One of `"valid"` or `"same"` (case-insensitive).
`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

3D tensor with shape: (batch_size, downsampled_steps, features).