vgg16_weights_tf_dim_ordering_tf_kernels_notop,Keras VGG16
2019-12-21 21:24:04
52.2MB
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kares VGG19神经网络参数vgg19_weights_tf_dim_ordering_tf_kernels_notop.h5
2019-12-21 21:19:10
76.42MB
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resnet50_weights_tf_dim_ordering_tf_kernels_notop
Linux下是放在“~/.keras/models/”中
Win下则放在Python的“settings/.keras/models/”中
Windows-weights路径：C:\Users\你的用户名\.keras\models anaconda下依然好用
2019-12-21 21:17:26
83.48MB
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keras中vgg16的notop权重，可参考该文https://blog.csdn.net/qq_33485434/article/details/87861975
2019-12-21 20:41:47
52.2MB
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keras下基于tensorflow的VGG16模型notop权重系数h5文件
2019-12-13 19:30:57
56.16MB
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