文件名称:vgg16
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在使用深度神经网络时我们一般推荐使用大牛的组推出的和成功的网络。如最近的google团队推出的BN-inception网络和inception-v3以及微软最新的深度残差网络ResNET。(In the use of deep neural network we generally recommend the use of cattle group launched and successful network. Such as the recent google team launched BN-inception network and inception-v3 and Microsoft's latest depth of residual network ResNET.)
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下载文件列表
vgg16
vgg16\.DS_Store
__MACOSX
__MACOSX\vgg16
__MACOSX\vgg16\._.DS_Store
vgg16\.idea
vgg16\.idea\inspectionProfiles
vgg16\.idea\inspectionProfiles\profiles_settings.xml
vgg16\.idea\inspectionProfiles\Project_Default.xml
vgg16\.idea\misc.xml
vgg16\.idea\modules.xml
vgg16\.idea\vgg16.iml
vgg16\.idea\workspace.xml
vgg16\__pycache__
vgg16\__pycache__\imagenet_utils.cpython-35.pyc
vgg16\__pycache__\utils.cpython-35.pyc
vgg16\__pycache__\vgg16.cpython-35.pyc
vgg16\imagenet_utils.py
__MACOSX\vgg16\._imagenet_utils.py
vgg16\utils.py
vgg16\vgg16.py
__MACOSX\vgg16\._vgg16.py
vgg16\visualize_feature_maps.py
vgg16\.DS_Store
__MACOSX
__MACOSX\vgg16
__MACOSX\vgg16\._.DS_Store
vgg16\.idea
vgg16\.idea\inspectionProfiles
vgg16\.idea\inspectionProfiles\profiles_settings.xml
vgg16\.idea\inspectionProfiles\Project_Default.xml
vgg16\.idea\misc.xml
vgg16\.idea\modules.xml
vgg16\.idea\vgg16.iml
vgg16\.idea\workspace.xml
vgg16\__pycache__
vgg16\__pycache__\imagenet_utils.cpython-35.pyc
vgg16\__pycache__\utils.cpython-35.pyc
vgg16\__pycache__\vgg16.cpython-35.pyc
vgg16\imagenet_utils.py
__MACOSX\vgg16\._imagenet_utils.py
vgg16\utils.py
vgg16\vgg16.py
__MACOSX\vgg16\._vgg16.py
vgg16\visualize_feature_maps.py
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