cg_optim_gd_momentum: Gradient Descent with Momentum
In triepels/cgraph: Computational Graphs
Description
Usage
Arguments
Value
Author(s)
Description
Initialize a gradient descent optimizer with momentum.
Usage
1
cg_optim_gd_momentum(parms = list(), eta = 0.05, gamma = 0.9)
Arguments
parms
list of cg_node objects, the nodes to be optimzed.
eta
numeric scalar, learning rate.
gamma
numeric scalar, momentum rate.
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 a gradient descent optimizer with momentum.
Usage
1 | cg_optim_gd_momentum(parms = list(), eta = 0.05, gamma = 0.9)
|
Arguments
parms |
list of cg_node objects, the nodes to be optimzed. |
eta |
numeric scalar, learning rate. |
gamma |
numeric scalar, momentum rate. |
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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