dfalbel/densenet: Densely Connected Convolutional Networks in Keras
Version 0.0.2

Provides Densely Connected Convolutional Networks implementations to be used for prediction, feature extraction and fine-tuning. This method was introduced in the paper "Densely Connected Convolutional Networks" (CVPR 2017, Best Paper Award) by Gao Huang, Zhuang Liu, Laurens van der Maaten and Kilian Weinberger.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.0.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("dfalbel/densenet")
dfalbel/densenet documentation built on Oct. 2, 2017, 12:11 a.m.