Keras.applications.models權重：儲存路徑及載入

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網路中斷原因導致keras載入vgg16等模型權重失敗， 
直接解決方案是：刪掉下載檔案，再重新下載

 

Windows-weights路徑：

C:\Users\你的使用者名稱\.keras\models

Linux-weights路徑：

.keras/models/ 
注意： linux中 帶點號的檔案都被隱藏了，需要查看hidden檔案才能顯示

Keras-Github-教程 
https://github.com/fchollet/deep-learning-models 
原始權重 
https://github.com/fchollet/deep-learning-models/releases 
tf模型權重百度雲 
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:

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’

Keras.applications.models權重：儲存路徑及載入