exp_decay: Exponential Decay
In GenomeNet/deepG: Deep Learning for Genome Sequence Data
exp_decay R Documentation
Exponential Decay
Description
Compute the learning Rate for a given epoch using Exponential Decay.
Usage
exp_decay(lrmax = 0.005, mult = 0.1, epoch = NULL)
Arguments
lrmax
Upper limit of the range for the learning rate.
mult
Factor, by which the number of epochs until a restart is decreased after a new step.
epoch
Epoch, for which the learning rate shall be calculated.
Value
A numeric value.
Examples
exp_decay(lrmax = 0.005, mult = 0.1, epoch = 8)
GenomeNet/deepG documentation built on Dec. 24, 2024, 12:11 p.m.
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.
| exp_decay | R Documentation |
Exponential Decay
Description
Compute the learning Rate for a given epoch using Exponential Decay.
Usage
exp_decay(lrmax = 0.005, mult = 0.1, epoch = NULL)
Arguments
lrmax |
Upper limit of the range for the learning rate. |
mult |
Factor, by which the number of epochs until a restart is decreased after a new step. |
epoch |
Epoch, for which the learning rate shall be calculated. |
Value
A numeric value.
Examples
exp_decay(lrmax = 0.005, mult = 0.1, epoch = 8)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.