gmcmacran/NeuralNetworkSimulatoR: Creates Ideal Data for a Neural Network

Ever wondered how learning rates, activations or sample size affect model performance? This package creates ideal data for a neural network structure. With this data one can test how different settings affect the model's performance.

Getting started

Package details

AuthorGreg McMahan
MaintainerGreg McMahan <gmcmacran@gmail.com>
LicenseGPL-3
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("gmcmacran/NeuralNetworkSimulatoR")
gmcmacran/NeuralNetworkSimulatoR documentation built on March 23, 2020, 12:51 a.m.