Global average pooling operation for temporal data.
layer_global_average_pooling_1d(object, data_format = "channels_last",
batch_size = NULL, name = NULL, trainable = NULL, weights = NULL)Model or layer object
One of channels_last (default) or channels_first.
The ordering of the dimensions in the inputs.
Fixed batch size for layer
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.
Whether the layer weights will be updated during training.
Initial weights for layer.
3D tensor with shape: (batch_size, steps, features).
2D tensor with shape: (batch_size, channels)
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