PhilippScheller/visualDescend
Visulaization of descent method for multi-dimensional optimization functions

Package index
Search the PhilippScheller/visualDescend package
Vignettes
Functions
20
Source code
11
Man pages
10
Home
/
GitHub
/
PhilippScheller/visualDescend: Visulaization of descent method for multi-dimensional optimization functions
/
Man pages

Man pages for PhilippScheller/visualDescend
Visulaization of descent method for multi-dimensional optimization functions

adaGradOptimize mathematical function using the AdaGrad algorithm
adamOptimize mathematical function using the Adam algorithm
gradDescentOptimize mathematical function using gradient descent
gradDescentMomentumOptimize mathematical function using gradient descent with...
NAGOptimize mathematical function using Nesterov Accelerated...
plot2dVisualize optimization procedure in 2d contour plot
plot3dVisualize optimization procedure in 3d plot
plotLossVisualize loss of optimization procedure
RMSpropOptimize mathematical function using the RMSProp algorithm
runAppLocalRun Shiny App on local machine
PhilippScheller/visualDescend documentation built on Feb. 5, 2020, 4:04 a.m.

R Package Documentation

rdrr.io home R language documentation Run R code online

Browse R Packages

CRAN packages Bioconductor packages R-Forge packages GitHub packages

We want your feedback!

Note that we can't provide technical support on individual packages. You should contact the package authors for that.
GitHub issue tracker
ian@mutexlabs.com
Personal blog

 
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.

Close