fcHiddenStateBackwardPassB1: Backpropagation (states' deltas) for fully connected layers...

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

Description

This function calculates units' deltas at a given layer when using one observation at the time.

Usage

fcHiddenStateBackwardPassB1(Sz, Sxs, J, mw, deltaM, deltaS, ni, no)

Arguments

Sz	Covariance of the units from current layer
Sxs	Null by default (not used yet)
J	Jacobian of current layer
mw	Mean vector of weights for the current layer
deltaM	Delta of mean vector of next layer units given y μ_{Z}|y
deltaS	Delta of covariance matrix of next layer units given y Σ_{Z}|y
ni	Number of units in current layer
no	Number of units in next layer

Value

• Delta of mean vector of current layer units given y μ_{Z}|y

• Delta of covariance matrix of current layer units given y Σ_{Z}|y

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