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deepregression (version 2.2.0)

tib_layer: 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, ...)

Value

layer object

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