Learner: Learner
In Microsoft/CNTK-R: R Interface to the Microsoft Cognitive Toolkit (CNTK)
Description
Abstraction for learning a subset of parameters of a learnable function
using first order gradient values. For example momentum, AdaGrad, RMSProp,
etc. are different types of learners with their own algorithms for learning
parameter values using first order gradients. To instantiate a concrete
learner, use the factory methods in this module.
Usage
1
Learner(parameters, learning_rate_schedule)
Arguments
parameters
– list of network parameters list of parameter associated
with this learner
learning_rate_schedule
get_learning_rate(learner)
Microsoft/CNTK-R documentation built on May 28, 2019, 1:52 p.m.
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Description
Abstraction for learning a subset of parameters of a learnable function using first order gradient values. For example momentum, AdaGrad, RMSProp, etc. are different types of learners with their own algorithms for learning parameter values using first order gradients. To instantiate a concrete learner, use the factory methods in this module.
Usage
1 | Learner(parameters, learning_rate_schedule)
|
Arguments
parameters |
– list of network parameters list of parameter associated with this learner |
learning_rate_schedule |
get_learning_rate(learner) |
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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