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.
Package details |
|
---|---|
Maintainer | |
License | MIT + file LICENSE |
Version | 0.0.2 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.