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.
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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