nn_model: Define a Stochastic Generative Neural Network Model with...

In DistributionIV: Distributional Instrumental Variable (DIV) Model

Define a Stochastic Generative Neural Network Model with Noise at Input Layer

Description

This function defines a generative neural network model for a certain architecture and adds noise to the input layer.

Usage

nn_model(in_dim, noise_dim, hidden_dim = 100, out_dim, num_layer = 3)

Arguments

in_dim	Integer. Input dimension.
noise_dim	Integer. Dimension of the noise to inject.
hidden_dim	Integer. Number of neurons in the hidden layers (default: 100).
out_dim	Integer. Output dimension.
num_layer	Integer. Number of layers in the model (default: 3).

Value

A generative neural network model with intermediate noise injection.

DistributionIV documentation built on Sept. 9, 2025, 5:52 p.m.