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Question about different results for the same picture #9

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xingwen78 opened this issue Aug 23, 2016 · 6 comments
Open

Question about different results for the same picture #9

xingwen78 opened this issue Aug 23, 2016 · 6 comments

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@xingwen78
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xingwen78 commented Aug 23, 2016

Hi

I downloaded the code and it worked very well, nice stuff.
Just one question, when testing a same picture I got different results from time to time.
Is that just because of the weights' float-point rounding ?

Thank you.

@chingyaoc
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I have the same problem while running test_tf().
The output of VGG is different from time to time.
Any suggestion?

@kilickaya
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Same here. I first suspected the problem is due to random initialized parameters of textual and image embeddings, however as they are loaded from the model-72, the only reason for different results are due to different VGG activations.

@YuDeng
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YuDeng commented Nov 22, 2016

I'm wondering if this is because of the dropout layers? Is it still working at testing stage?

@kilickaya
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Yes, this is probably due to dropout dropping some random connections at test time, which is connected to fc-7 layer (previous layers do not produce random activations) Is there any way to shut it down at test time?

@ilovezhenzhen
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Hi
ImportError: This module is deprecated. Use tf.nn.rnn_cell instead.
i use from tensorflow.python.ops import rnn_cell instead from tensorflow.models.rnn import rnn_cell but
ValueError: setting an array element with a sequence.

@nqkhai1706
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Hi,
I think the result is different, that is normal. It pick the top scores result by random, not only 1 result

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6 participants