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Title: DenseNet-master Download
  • Category:
  • AI-NN-PR
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  • File Size:
  • 30kb
  • Update:
  • 2018-09-26
  • Downloads:
  • 0 Times
  • Uploaded by:
  • 123xy
 Description: This article is the oral of CVPR2017, very powerful. This paper DenseNet (Dense Convolutional Network) mainly and ResNet and Inception Network do contrast, reference ideas, but he is a new structure, Network structure is not complicated, but very effective! As is known to all, in the last year or two, the direction of improving the effect of convolutional neural network is either deep (such as ResNet, which solves the gradient disappearance problem in deep network) or wide (such as GoogleNet's Inception), while the author starts from feature and achieves better effect and fewer parameters through the extreme utilization of feature
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FilenameSizeDate
DenseNet-master 0  2018-04-26

DenseNet-master\LICENSE 1483  2018-04-26

DenseNet-master\README.md 11929  2018-04-26

DenseNet-master\checkpoints.lua 1950  2018-04-26

DenseNet-master\dataloader.lua 3671  2018-04-26

DenseNet-master\datasets 0  2018-04-26

DenseNet-master\datasets\README.md 1990  2018-04-26

DenseNet-master\datasets\cifar10-gen.lua 2010  2018-04-26

DenseNet-master\datasets\cifar10.lua 1349  2018-04-26

DenseNet-master\datasets\cifar100-gen.lua 2081  2018-04-26

DenseNet-master\datasets\cifar100.lua 1665  2018-04-26

DenseNet-master\datasets\imagenet-gen.lua 3918  2018-04-26

DenseNet-master\datasets\imagenet.lua 2797  2018-04-26

DenseNet-master\datasets\init.lua 994  2018-04-26

DenseNet-master\datasets\transforms.lua 7525  2018-04-26

DenseNet-master\main.lua 2157  2018-04-26

DenseNet-master\models 0  2018-04-26

DenseNet-master\models\DenseConnectLayer.lua 5628  2018-04-26

DenseNet-master\models\README.md 3007  2018-04-26

DenseNet-master\models\densenet.lua 5584  2018-04-26

DenseNet-master\models\init.lua 7262  2018-04-26

DenseNet-master\opts.lua 6466  2018-04-26

DenseNet-master\train.lua 6805  2018-04-26

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