layer_add_identity

layer_concatenate_identity

Allows for the specification of semi-structured deep distributional regression models which are fitted in a neural network as
proposed by Ruegamer et al. (2023) <doi:10.18637/jss.v105.i02>.
Predictors can be modeled using structured (penalized) linear effects, structured non-linear effects or using an unstructured deep network model.

David Ruegamer

deepregression

Fitting Deep Distributional Regression

Christopher Marquardt

Laetitia Frost

Florian Pfisterer

Philipp Baumann

Chris Kolb

Lucas Kook

layer_add_identity function

<dl><dt>inputs</dt>
<dd>list of tensors</dd></dl>

Arguments

Convenience layer function — layer_add_identity

<dl>

<dt>inputs</dt>
<dd>list of tensors</dd>

</dl>

Convenience layer function

layer_add_identity: Convenience layer function

Description

Usage

Value

Arguments

Details