keras导入weights_keras weights

         keras源码engine中toplogy.py定义了加载权重的函数:load_weights(self, filepath, by_name=False)

其中默认by_name为False,这时候加载权重按照网络拓扑结构加载,适合直接使用keras中自带的网络模型,如VGG16

VGG19/resnet50等,源码描述如下:

        If `by_name` is False (default) weights are loaded
        based on the network's topology, meaning the architecture
        should be the same as when the weights were saved.
        Note that layers that don't have weights are not taken
        into account in the topological ordering, so adding or
        removing layers is fine as long as they don't have weights.

          若将by_name改为True则加载权重按照layer的name进行,layer的name相同时加载权重,适合用于改变了

模型的相关结构或增加了节点但利用了原网络的主体结构情况下使用,源码描述如下:

        If `by_name` is True, weights are loaded into layers
        only if they share the same name. This is useful
        for fine-tuning or transfer-learning models where
        some of the layers have changed.        

           在进行边缘检测时,利用VGG网络的主体结构,网络中增加反卷积层,这时加载权重应该使用

          model.load_weights(filepath,by_name=True)