Fraction of the input units to drop. Double between 0 and 1.
Format of input data. Either 'CHANNEL_FIRST' (dimOrdering='th') or 'CHANNEL_LAST' (dimOrdering='tf'). Default is 'CHANNEL_FIRST'.
A Single Shape, does not include the batch dimension.
Format of input data.
Format of input data. Either 'CHANNEL_FIRST' (dimOrdering='th') or 'CHANNEL_LAST' (dimOrdering='tf'). Default is 'CHANNEL_FIRST'.
Build graph: some other modules point to current module
Build graph: some other modules point to current module
upstream variables
Variable containing current module
A Single Shape, does not include the batch dimension.
A Single Shape, does not include the batch dimension.
Fraction of the input units to drop.
Fraction of the input units to drop. Double between 0 and 1.
(Since version 0.3.0) please use recommended saveModule(path, overWrite)
Spatial 3D version of Dropout. This version performs the same function as Dropout, however it drops entire 3D feature maps instead of individual elements. If adjacent voxels within feature maps are strongly correlated (as is normally the case in early convolution layers) then regular dropout will not regularize the activations and will otherwise just result in an effective learning rate decrease. In this case, SpatialDropout3D will help promote independence between feature maps and should be used instead. The input of this layer should be 5D.
When you use this layer as the first layer of a model, you need to provide the argument inputShape (a Single Shape, does not include the batch dimension).
Numeric type of parameter(e.g. weight, bias). Only support float/double now.