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]