cnaumzik/caffeR: Interface for the deep learning framework 'caffe'

Provides an interface for accessing 'caffe' directly from inside R. 'caffe' is a powerful deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) that especially addresses image tasks. The package creates the necessary folder structure, performs preprocessing of images and invokes a call to 'caffe'.

Getting started

Package details

AuthorChristof Naumzik [aut, cre], Stefan Feuerriegel [aut]
Bioconductor views EBImage
MaintainerChristof Naumzik <christof.naumzik@is.uni-freiburg.de>
LicenseMIT + file LICENSE
Version0.2-0
URL https://github.com/cnaumzik/caffeR
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("cnaumzik/caffeR")
cnaumzik/caffeR documentation built on May 13, 2019, 8:44 p.m.