cg_optim_adam: Adaptive Moment Estimation (ADAM)
In triepels/cgraph: Computational Graphs
Description
Usage
Arguments
Value
Author(s)
Description
Initialize an ADAM optimizer.
Usage
1
cg_optim_adam(parms = list(), eta = 0.001, betas = c(0.9, 0.999), eps = 1e-08)
Arguments
parms
list of cg_node objects, the nodes to be optimzed.
eta
numeric scalar, learning rate.
betas
numeric vector of length two, first and second moment rates.
eps
numeric scalar, small term to improve numerical stability (optional).
Value
cg_optim object.
Author(s)
Ron Triepels
triepels/cgraph documentation built on April 24, 2020, 12:58 a.m.
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Description Usage Arguments Value Author(s)
Description
Initialize an ADAM optimizer.
Usage
1 | cg_optim_adam(parms = list(), eta = 0.001, betas = c(0.9, 0.999), eps = 1e-08)
|
Arguments
parms |
list of cg_node objects, the nodes to be optimzed. |
eta |
numeric scalar, learning rate. |
betas |
numeric vector of length two, first and second moment rates. |
eps |
numeric scalar, small term to improve numerical stability (optional). |
Value
cg_optim object.
Author(s)
Ron Triepels
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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