covarianceSa: Calculate variance of activated units
In mgoulet847/tagi: Tractable Approximate Gaussian Inference in Neural Networks
Description
Usage
Arguments
Value
Description
This function uses lineratization to estimate the covariance matrix of activation units Σ_{A}.
Usage
1
covarianceSa(J, Sz)
Arguments
J
Jacobian matrix evaluated at μ_{Z}
Sz
Covariance matrix of units for the current layer Σ_{Z}
Value
The activation units covariance matrix Σ_{A}
mgoulet847/tagi documentation built on Dec. 21, 2021, 5:10 p.m.
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Description Usage Arguments Value
Description
This function uses lineratization to estimate the covariance matrix of activation units Σ_{A}.
Usage
1 | covarianceSa(J, Sz)
|
Arguments
J |
Jacobian matrix evaluated at μ_{Z} |
Sz |
Covariance matrix of units for the current layer Σ_{Z} |
Value
The activation units covariance matrix Σ_{A}
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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