half: Halving Convolutional Block

In neuroimaginador/dl4ni: Deep Learning Flows for Neuroimaging

Description

This function is a wrapper to define a halving convolutional block.

Usage

half(initial_filters = 2, kernel_size = c(3, 3, 3), ...)

Arguments

initial_filters	(numeric) Number of filters in the first convolutional layer, Default: 2
kernel_size	(list or vector) size of the convolution kernels, Default: c(3, 3, 3)
...	arguments for the block_half function.

Value

A list with type = "half" and params with the rest of parameters that define the block.

neuroimaginador/dl4ni documentation built on May 3, 2019, 5:47 p.m.