文件名称:tensorflow-resnet-master
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- 上传时间：
- 2018-09-26
- 文件大小：
- 653kb
- 下载次数：
- 0次
- 提 供 者：
- 12***
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
ResNet在2015年被提出，在ImageNet比赛classification任务上获得第一名，因为它“简单与实用”并存，之后很多方法都建立在ResNet50或者ResNet101的基础上完成的，检测，分割，识别等领域都纷纷使用ResNet，Alpha zero也使用了ResNet，所以可见ResNet确实很好用。(ResNet was proposed in 2015 and won the first place in the classification task of ImageNet competition. Since it was "simple and practical", many methods were built on ResNet50 or ResNet101. ResNet was used in detection, segmentation, recognition and other fields.)
相关搜索： ResNet
(系统自动生成,下载前可以参看下载内容)
下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| tensorflow-resnet-master | 0 | 2018-03-08 |
| tensorflow-resnet-master\.gitignore | 96 | 2018-03-08 |
| tensorflow-resnet-master\LICENSE | 1076 | 2018-03-08 |
| tensorflow-resnet-master\README.md | 2295 | 2018-03-08 |
| tensorflow-resnet-master\__init__.py | 21 | 2018-03-08 |
| tensorflow-resnet-master\config.py | 2852 | 2018-03-08 |
| tensorflow-resnet-master\convert.py | 9786 | 2018-03-08 |
| tensorflow-resnet-master\data | 0 | 2018-03-08 |
| tensorflow-resnet-master\data\ResNet-101-deploy.prototxt | 65439 | 2018-03-08 |
| tensorflow-resnet-master\data\ResNet-152-deploy.prototxt | 98034 | 2018-03-08 |
| tensorflow-resnet-master\data\ResNet-50-deploy.prototxt | 32520 | 2018-03-08 |
| tensorflow-resnet-master\data\ResNet_mean.binaryproto | 602126 | 2018-03-08 |
| tensorflow-resnet-master\data\cat.jpg | 140391 | 2018-03-08 |
| tensorflow-resnet-master\data\tensorflow-resnet-pretrained-20160509.tar.gz.torrent | 37393 | 2018-03-08 |
| tensorflow-resnet-master\forward.py | 660 | 2018-03-08 |
| tensorflow-resnet-master\image_processing.py | 17702 | 2018-03-08 |
| tensorflow-resnet-master\resnet.py | 10621 | 2018-03-08 |
| tensorflow-resnet-master\resnet_train.py | 4730 | 2018-03-08 |
| tensorflow-resnet-master\synset.py | 38823 | 2018-03-08 |
| tensorflow-resnet-master\train_cifar.py | 12088 | 2018-03-08 |
| tensorflow-resnet-master\train_imagenet.py | 2860 | 2018-03-08 |