keras: layer_global_average_pooling_2d – R documentation

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layer_global_average_pooling_2d

Global average pooling operation for spatial data.

Global average pooling operation for spatial data.

layer_global_average_pooling_2d(
  object,
  data_format = NULL,
  batch_size = NULL,
  name = NULL,
  trainable = NULL,
  weights = NULL
)

`object`	Model or layer object
`data_format`	A string, one of `channels_last` (default) or `channels_first`. The ordering of the dimensions in the inputs. `channels_last` corresponds to inputs with shape `(batch, height, width, channels)` while `channels_first` corresponds to inputs with shape `(batch, channels, height, width)`. It defaults to the `image_data_format` value found in your Keras config file at `~/.keras/keras.json`. If you never set it, then it will be "channels_last".
`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.

If data_format='channels_last': 4D tensor with shape: (batch_size, rows, cols, channels)
If data_format='channels_first': 4D tensor with shape: (batch_size, channels, rows, cols)

2D tensor with shape: (batch_size, channels)