layer_partial_conv_2d: Partial convolution layer 2D

In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing

Partial convolution layer 2D

Description

Creates an 2D partial convolution layer

Usage

layer_partial_conv_2d(
  object,
  filters,
  kernelSize,
  strides = c(1L, 1L),
  padding = "valid",
  dataFormat = "channels_last",
  dilationRate = c(1L, 1L),
  activation = NULL,
  kernelInitializer = "glorot_uniform",
  biasInitializer = "zeros",
  kernelRegularizer = NULL,
  biasRegularizer = NULL,
  activityRegularizer = NULL,
  useBias = TRUE,
  trainable = TRUE
)

Arguments

object	Object to compose layer with. This is either a keras::keras_model_sequential to add the layer to, or another Layer which this layer will call.
filters	number of filters
kernelSize	kernel size
strides	strides
padding	padding
dataFormat	format
dilationRate	dilate rate
activation	activation
kernelInitializer	kernel initializer
biasInitializer	bias initializer
kernelRegularizer	kernel regularizer
biasRegularizer	bias regularizer
activityRegularizer	activity regularizer
useBias	use bias
trainable	Whether the layer weights will be updated during training.

Value

a keras layer tensor

Author(s)

Tustison NJ

ANTsX/ANTsRNet documentation built on April 28, 2024, 12:16 p.m.