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Data Structure ?
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README.md
## DenseNet ##
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**密接に接続された畳み込みネットワーク**
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DenseNetは、各層が(各密ブロック内で)フィードフォワード方式で他のすべての層に直接接続されたネットワークアーキテクチャです。各層について、すべての先行層の特徴マップは別個の入力として扱われ、それ自身の特徴マップはすべての後続層の入力として渡されます。この接続パターンにより、CIFAR10/100(データ拡張有りまたは無し)およびSVHNで最先端の精度が得られます。大規模なILSVRC 2012(ImageNet)データセットでは、DenseNetはResNetと同様の精度を達成しますが、パラメータの量は半分未満で、FLOP数は約半分です。
**著者: Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger**
[https://arxiv.org/abs/1608.06993][1]
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アーキテクチャの可視化: [https://github.com/liuzhuang13/DenseNet][2]
![DenseNetの可視化][3]
図1: 5層と成長率4の密ブロック。
![DenseNetの可視化2][4]
図2: 3つの密ブロックを持つ深いDenseNet。
[1]: https://arxiv.org/abs/1608.06993
[2]: https://github.com/liuzhuang13/DenseNet
[3]: https://cloud.githubusercontent.com/assets/8370623/17981494/f838717a-6ad1-11e6-9391-f0906c80bc1d.jpg
[4]: https://cloud.githubusercontent.com/assets/8370623/17981496/fa648b32-6ad1-11e6-9625-02fdd72fdcd3.jpg
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- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
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