UserLearner: UserLearner

Description Usage Arguments Details See Also

Description

Base class of all user-defined learners. To implement your own learning algorithm, derive from this class and override the update().

Usage

1
UserLearner(parameters, lr_schedule, as_matrix = TRUE)

Arguments

parameters

– list of network parameters

as_matrix
lr

(output of learning_rate_schedule()) – learning rate schedule_schedule

Details

Certain optimizers (such as AdaGrad) require additional storage. This can be allocated and initialized during construction.

See Also

update_user_learner


Microsoft/CNTK-R documentation built on May 28, 2019, 1:52 p.m.