tib_layer {deepregression}R Documentation

Hadamard-type layers

Description

Hadamard-type layers

Usage

tib_layer(units, la, ...)

simplyconnected_layer(la, ...)

inverse_group_lasso_pen(la)

regularizer_group_lasso(la, group_idx)

tibgroup_layer(units, group_idx, la, ...)

layer_hadamard(units = 1, la = 0, depth = 3, ...)

layer_group_hadamard(units, la, group_idx, depth, ...)

layer_hadamard_diff(
  units,
  la,
  initu = "glorot_uniform",
  initv = "glorot_uniform",
  ...
)

layer_hadamard(units = 1, la = 0, depth = 3, ...)

Arguments

units

integer; number of units

la

numeric; regularization value (> 0)

...

arguments passed to TensorFlow layer

group_idx

list of group indices

depth

integer; depth of weight factorization

initu, initv

initializers for parameters

Value

layer object


[Package deepregression version 1.0.0 Index]