flexconn_conv_chain: FLEXCONN Convolution Chain

In neuroconductor-devel-releases/flexconn: FLEXCONN Model

Description

FLEXCONN Convolution Chain

Usage

flexconn_conv_chain(
  object,
  ds = 2,
  num_filters = 128,
  kernel_size_1 = 3,
  kernel_size_2 = 5,
  prefix = NULL,
  ndim
)

Arguments

object	Model or layer object
ds	Some fixed number???
num_filters	Nubmer of filters
kernel_size_1	Size of first kernel
kernel_size_2	Size of second kernel
prefix	output prefix for each layer
ndim	Number of dimensions for convolution chain

Value

Output model

Examples

user = Sys.getenv("USER")
if (user %in% c("johnmuschelli", "travis") &
Sys.info()["sysname"] == "Darwin"){
reticulate::use_python(paste0(
"/Library/Frameworks/Python.framework/Versions/3.5/bin/python3"))
} else {
python = system("which python", intern = TRUE)
print(python)
reticulate::use_python(python)
}
library(tensorflow)
library(keras)
 t1_input <- layer_input(shape = shape(NULL, NULL, 1))
 t1 <- t1_input %>%
 flexconn_conv_chain(
   prefix = "t1"
 )

 t1_3d_input <- layer_input(shape = shape(NULL, NULL, NULL, 1))
 t1_3d <- t1_input %>%
 flexconn_conv_chain(
   prefix = "t1"
 )

neuroconductor-devel-releases/flexconn documentation built on May 6, 2020, 4:21 p.m.