Keras.applications.models权重（存储路径及加载） _applications

莫问天涯路几重，轻衫侧帽且从容。这篇文章主要讲述Keras.applications.models权重：存储路径及加载相关的知识，希望能为你提供帮助。
网络中断原因导致keras加载vgg16等模型权重失败，
直接解决方法是：删掉下载文件，再重新下载

Windows-weights路径：

C:\Users\你的用户名\.keras\models

Linux-weights路径：

.keras/models/
注意： linux中带点号的文件都被隐藏了，需要查看hidden文件才能显示

Keras-Github-教程
https://github.com/fchollet/deep-learning-models
原始权重下载地址
https://github.com/fchollet/deep-learning-models/releases
tf模型权重百度云下载地址
http://pan.baidu.com/s/1dE9giOD
VGG16:

WEIGHTS_PATH =
‘ https://github.com/fchollet/deep-learning-models/releases/download/v0.1/vgg16_weights_tf_dim_ordering_tf_kernels.h5’
WEIGHTS_PATH_NO_TOP =
‘ https://github.com/fchollet/deep-learning-models/releases/download/v0.1/vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5’

VGG19:

TF_WEIGHTS_PATH =
‘ https://github.com/fchollet/deep-learning-models/releases/download/v0.4/xception_weights_tf_dim_ordering_tf_kernels.h5’
TF_WEIGHTS_PATH_NO_TOP =
‘ https://github.com/fchollet/deep-learning-models/releases/download/v0.4/xception_weights_tf_dim_ordering_tf_kernels_notop.h5’

RESNET50:

【Keras.applications.models权重（存储路径及加载）】WEIGHTS_PATH =
‘ https://github.com/fchollet/deep-learning-models/releases/download/v0.2/resnet50_weights_tf_dim_ordering_tf_kernels.h5’
WEIGHTS_PATH_NO_TOP =
‘ https://github.com/fchollet/deep-learning-models/releases/download/v0.2/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5’

INCEPTIONS_V3:

WEIGHTS_PATH =
‘ https://github.com/fchollet/deep-learning-models/releases/download/v0.5/inception_v3_weights_tf_dim_ordering_tf_kernels.h5’
WEIGHTS_PATH_NO_TOP =
‘ https://github.com/fchollet/deep-learning-models/releases/download/v0.5/inception_v3_weights_tf_dim_ordering_tf_kernels_notop.h5’

XCEPTION:

TF_WEIGHTS_PATH =
‘ https://github.com/fchollet/deep-learning-models/releases/download/v0.4/xception_weights_tf_dim_ordering_tf_kernels.h5’
TF_WEIGHTS_PATH_NO_TOP =
‘ https://github.com/fchollet/deep-learning-models/releases/download/v0.4/xception_weights_tf_dim_ordering_tf_kernels_notop.h5’