network: One iteration of the Tractable Approximate Gaussian Inference...

In mgoulet847/tagi: Tractable Approximate Gaussian Inference in Neural Networks

Description

This function goes through one learning iteration of the neural network model using TAGI.

Usage

network(NN, mp, Sp, x, y)

Arguments

NN	Lists the structure of the neural network
mp	Mean vector of parameters for each layer μ_{θ}
Sp	Covariance matrix of parameters for each layer Σ_{θ}
x	Input data
y	Response data

Value

• Updated mean vector of parameters for each layer μ_{θ}

• Updated covariance matrix of parameters for each layer Σ_{θ}

• Mean of predicted responses

• Variance of the predicted responses

mgoulet847/tagi documentation built on Dec. 21, 2021, 5:10 p.m.