nn_grad: Neural network gradient
In andrew-mcinerney/statnn: Interpreting Neural Networks From a Statistical Perspective
nn_grad R Documentation
Neural network gradient
Description
Neural network gradient
Usage
nn_grad(W, X, q, response = "continuous")
Arguments
W
Weight vector
X
Input vector
q
Number of hidden nodes
response
Response type: "continuous" (default) or
"binary"
Value
Log-Likelihood value
andrew-mcinerney/statnn documentation built on June 30, 2024, 4:09 p.m.
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| nn_grad | R Documentation |
Neural network gradient
Description
Neural network gradient
Usage
nn_grad(W, X, q, response = "continuous")
Arguments
W |
Weight vector |
X |
Input vector |
q |
Number of hidden nodes |
response |
Response type: |
Value
Log-Likelihood value
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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