Uses of Class
org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer

Packages that use BaseUpsamplingLayer

Package	Description
org.deeplearning4j.nn.conf.layers

Uses of BaseUpsamplingLayer in org.deeplearning4j.nn.conf.layers

Subclasses of BaseUpsamplingLayer in org.deeplearning4j.nn.conf.layers

Modifier and Type	Class and Description
class	Upsampling1D Upsampling 1D layer Repeats each step size times along the temporal/sequence axis (dimension 2) For input shape [minibatch, channels, sequenceLength] output has shape [minibatch, channels, size * sequenceLength] Example:
class	Upsampling2D Upsampling 2D layer Repeats each value (or rather, set of depth values) in the height and width dimensions by size[0] and size[1] times respectively. If input has shape [minibatch, channels, height, width] then output has shape [minibatch, channels, height*size[0], width*size[1]] Example:
class	Upsampling3D Upsampling 3D layer Repeats each value (all channel values for each x/y/z location) by size[0], size[1] and size[2] If input has shape [minibatch, channels, depth, height, width] then output has shape [minibatch, channels, size[0] * depth, size[1] * height, size[2] * width]

Methods in org.deeplearning4j.nn.conf.layers that return BaseUpsamplingLayer

Modifier and Type	Method and Description
BaseUpsamplingLayer	BaseUpsamplingLayer.clone()