Comments (2)
I am using the very same model right now and it is working perfectly fine.
Could it be that you are using the original repository of Keras to load the model? The parameter 'b_learning_rate_multiplier' is specific for this fork and does not exist in the original repo.
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Yes, it was an issue.
Still I have problem with GoogleNet:
I am trying to fine tune, but this requires replacing output. Currently I do:
model.layers.pop()
model.outputs = [model.layers[-1].output]
model.layers[-1].outbound_nodes = []
model.add(Dense(10, activation='softmax'))
This worked with VGG16 and original Keras. But I get an error here:
model.add(Dense(10, activation='softmax'))
AttributeError: 'Model' object has no attribute 'add'
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