文件名称:resnet
介绍说明－－下载内容均来自于网络，请自行研究使用
使用 TensorFlow 实现 resNet, 也就是残差网络，为官方demo， 分别用 cifar 数据集和 ImageNet 数据集进行测试。(Using TensorFlow to achieve resNet, that is, the residual network, for official demo, respectively, using cifar data sets and ImageNet data sets for testing.)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
resnet
resnet\.idea
resnet\.idea\inspectionProfiles
resnet\.idea\inspectionProfiles\Project_Default.xml
resnet\.idea\misc.xml
resnet\.idea\modules.xml
resnet\.idea\resnet.iml
resnet\.idea\workspace.xml
resnet\cifar10_download_and_extract.py
resnet\cifar10_main.py
resnet\cifar10_test.py
resnet\imagenet_main.py
resnet\imagenet_test.py
resnet\README.md
resnet\resnet_model.py
resnet\tmp
resnet\tmp\cifar10_data
resnet\tmp\cifar10_model
resnet\tmp\cifar10_model\eval
resnet\tmp\cifar10_model\eval\events.out.tfevents.1509274975.DESKTOP-IQD9MBJ
resnet\tmp\resnet_model
resnet\vgg_preprocessing.py
resnet\__init__.py
resnet\__pycache__
resnet\__pycache__\resnet_model.cpython-36.pyc
resnet\__pycache__\vgg_preprocessing.cpython-36.pyc
resnet\.idea
resnet\.idea\inspectionProfiles
resnet\.idea\inspectionProfiles\Project_Default.xml
resnet\.idea\misc.xml
resnet\.idea\modules.xml
resnet\.idea\resnet.iml
resnet\.idea\workspace.xml
resnet\cifar10_download_and_extract.py
resnet\cifar10_main.py
resnet\cifar10_test.py
resnet\imagenet_main.py
resnet\imagenet_test.py
resnet\README.md
resnet\resnet_model.py
resnet\tmp
resnet\tmp\cifar10_data
resnet\tmp\cifar10_model
resnet\tmp\cifar10_model\eval
resnet\tmp\cifar10_model\eval\events.out.tfevents.1509274975.DESKTOP-IQD9MBJ
resnet\tmp\resnet_model
resnet\vgg_preprocessing.py
resnet\__init__.py
resnet\__pycache__
resnet\__pycache__\resnet_model.cpython-36.pyc
resnet\__pycache__\vgg_preprocessing.cpython-36.pyc