Global average pooling operation for temporal data.
Global average pooling operation for temporal data.
layer_global_average_pooling_1d(object, batch_size = NULL, name = NULL,
trainable = NULL, weights = NULL)Arguments
| object | Model or layer object |
| 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