Spatial 2D version of Dropout.

Inherits From: Dropout, Layer, Module

Used in the notebooks

Used in the tutorials

This version performs the same function as Dropout, however, it drops entire 2D feature maps instead of individual elements. If adjacent pixels 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, SpatialDropout2D will help promote independence between feature maps and should be used instead.

rate Float between 0 and 1. Fraction of the input units to drop.
data_format 'channels_first' or 'channels_last'. In 'channels_first' mode, the channels dimension (the depth)