learNN: Examples of Neural Networks
Version 0.2.0

Implementations of several basic neural network concepts in R, as based on posts on \url{http://qua.st/}.

Browse man pages Browse package API and functions Browse package files

AuthorBastiaan Quast [aut, cre]
Date of publication2015-09-29 17:33:17
MaintainerBastiaan Quast <bquast@gmail.com>
LicenseGPL-3
Version0.2.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("learNN")

Man pages

learn_bp: Learn Back Propagation
learn_bp11: Learn Back Propagation in 11 lines
learn_do: Learn Dropout
learn_do15: Learn Dropout in 15 lines
learn_gd: Learn Gradient Descent
learn_gd13: Learn Gradient Descent in 13 lines
learnn: Learn Neural Networks

Functions

learn_bp Man page Source code
learn_bp11 Man page Source code
learn_do Man page Source code
learn_do15 Man page Source code
learn_gd Man page Source code
learn_gd13 Man page Source code
learnn Man page
learnn-package Man page

Files

tests
tests/testthat.R
tests/testthat
tests/testthat/test_learn_bp.R
NAMESPACE
NEWS
R
R/learn_gd.R
R/learn_bp.R
R/learNN.R
R/learn_do.R
README.md
MD5
DESCRIPTION
man
man/learnn.Rd
man/learn_gd.Rd
man/learn_gd13.Rd
man/learn_bp.Rd
man/learn_bp11.Rd
man/learn_do15.Rd
man/learn_do.Rd
learNN documentation built on May 19, 2017, 6:24 a.m.