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Low transfer learning accuracy #10979
Seems weird, but I've tried to do this task in two steps and it seems to work:
And finally, I build a final model in the same way as you. I'm just updating weights using those from the single dense layer fitted previously and it works....
I'm experiencing the same using Keras version 2.2.3, do you have a solution for this problem?
@RomainCendre I got the same result as you. When trying to use a pre-trained model and freeze the layers and then add a simple dense layer the val_accuracy is really bad (in my case random). When first extracting the features and then adding those features to a new model the val_accuracy is more or less the same as the accuracy.