simplyconnected_layer_torch {deepregression} | R Documentation |
Hadamard-type layers torch
simplyconnected_layer_torch(
la = la,
multfac_initializer = torch_ones,
input_shape
)
tiblinlasso_layer_torch(
la,
input_shape = 1,
units = 1,
kernel_initializer = "he_normal"
)
tib_layer_torch(units, la, input_shape, multfac_initializer = torch_ones)
tibgroup_layer_torch(
units,
group_idx = NULL,
la = 0,
input_shape,
kernel_initializer = "torch_ones",
multfac_initializer = "he_normal"
)
la |
numeric; regularization value (> 0) |
multfac_initializer |
initializer for parameters |
input_shape |
integer; number of input dimension |
units |
integer; number of units |
kernel_initializer |
initializer |
group_idx |
list of group indices |
nn_module
torch layer object
nn_module
nn_module