layer_global_max_pooling_1d {keras} | R Documentation |
Global max pooling operation for temporal data.
layer_global_max_pooling_1d(object, data_format = "channels_last", batch_size = NULL, name = NULL, trainable = NULL, weights = NULL)
object |
Model or layer object |
data_format |
One of |
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. |
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_1d
,
layer_global_average_pooling_2d
,
layer_global_average_pooling_3d
,
layer_global_max_pooling_2d
,
layer_global_max_pooling_3d
,
layer_max_pooling_1d
,
layer_max_pooling_2d
,
layer_max_pooling_3d