Using TensorFlow to achieve resNet, that is, the residual network, for official demo, respectively, using cifar data sets and ImageNet data sets for testing.

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

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