nn_model {DistributionIV} | R Documentation |
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. |
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.
[Package DistributionIV version 0.1.0 Index]