Your English writing platform
Discover LudwigExact(3)
The initial learn rate was held fixed while the error rate on the development set kept decreasing.
As the initial learn rate, we always used the largest possible value that gave numerically meaningful error rates.
We have used train and test set ratio as 80 20, learn rate of 0.1, 200 as initial number of trees and cross entropy technique to determine number of trees optimal for our logistic model.
Similar(57)
j Learning rate.
Learning rate: 1. 6.
Learning rate, α: 0.7.
where a is learning rate.
First is the optimization of learning rate.
Learning rate (LR) and momentum (M): We continue the analysis with the learning rate and momentum.
and Equation 2 being a fixed value, learning rate μ becomes a self-adaptive learning rate.
Fig. 21 a Learning rate with accuracy of model.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com