dfalbel/densenet: Densely Connected Convolutional Networks in Keras
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
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Package details |
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| 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:
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