layer_l2_normalization_2d: Normalization layer (2-D and 3-D)

In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing

Normalization layer (2-D and 3-D)

Description

Wraps a custom layer for the SSD network

Usage

layer_l2_normalization_2d(object, scale = 20, name = NULL, trainable = TRUE)

layer_l2_normalization_3d(object, scale = 20, name = NULL, 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.
scale	box scale
name	The name of the layer
trainable	Whether the layer weights will be updated during training.

Value

a keras layer tensor

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