Comments (3)
@wzn0828
In my opinion,
the formulations of "ht" and "st" are similar,
but they are affected by different variables when backpropagating loss,
which results in their different effects.
from adaptiveattention.
Yes, I agree with @jamiechoi1995 Base on the different model inductive bias you impose, the weight will learn different functions.
from adaptiveattention.
@jamiechoi1995 @jiasenlu Thank you all, I think I have gotten a deeper understanding of this sentinel with your help.
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Related Issues (20)
- Could you provide a tensorflow version? HOT 1
- Error in demo.ipynb (Evaluation script)
- Is there a typo in your paper? HOT 1
- Question about Eq(8) HOT 2
- how to change cnn model for larger input images
- Does anyone know if this has a tensorflow version? HOT 2
- How to eval my own images? HOT 1
- Unsupported hdf5 version
- The visualization of generated caption
- The isssue of pre-trained model HOT 1
- Question about adaptive attention ?
- how to get the results closed to that in the paper? about the result of test set.
- what's the difference if the input of LSTM without GlOBAL feature ?
- Performance on Flickr30k Dataset HOT 1
- How to run th command ?
- How to test on test images HOT 1
- how to visulize the attention map of each word on a tested image HOT 3
- Some confusion about adaptive attention model HOT 1
- hi, do you have a pytorch version source code? HOT 3
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