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I am trying to extract features of a new data-set by using a pre-trained network like that one classify_image_graph_def.pb released by Google in the tensorflow (inception-2015-12-05.tgz). I was successful on that as there is tutorial at transfer_learning, which uses the classify_image_graph_def.pb (inception_v3.pb) to extract fractures of the new data-set.

However, in the new release of pre-trained models tensorflow provides check point files (ex. resnet_v1_152.ckpt) instead of Graph_def (ex. resnet_v1_152.pb). I was wondering how I could use these checkpoint files to extract features as in transfer_learning. Could anyone give me some directions?

Akilan goldking
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1 Answers1

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Just follow the official model save/restore doc here.

Max
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