ยป Keras API reference / Layers API / Pooling layers / AveragePooling1D layer

AveragePooling1D layer

AveragePooling1D class

tf.keras.layers.AveragePooling1D(
    pool_size=2, strides=None, padding="valid", data_format="channels_last", **kwargs
)

Average pooling for temporal data.

Arguments

  • pool_size: Integer, size of the average pooling windows.
  • strides: Integer, or None. Factor by which to downscale. E.g. 2 will halve the input. If None, it will default to pool_size.
  • padding: One of "valid" or "same" (case-insensitive). "valid" means no padding. "same" results in padding evenly to the left/right or up/down of the input such that output has the same height/width dimension as the input.
  • 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, steps, features) while channels_first corresponds to inputs with shape (batch, features, steps).

Input shape

  • If data_format='channels_last': 3D tensor with shape (batch_size, steps, features).
  • If data_format='channels_first': 3D tensor with shape (batch_size, features, steps).

Output shape

  • If data_format='channels_last': 3D tensor with shape (batch_size, downsampled_steps, features).
  • If data_format='channels_first': 3D tensor with shape (batch_size, features, downsampled_steps).