Comments (2)
I don't think it's a good idea to link it to any Image OCR implementation.
I'd say, this module is better suited for time series and NLP data.
You should probably look for CAM (Class Activation Maps) and Saliency Maps:
- https://paperswithcode.com/method/cam
- https://debuggercafe.com/saliency-maps-in-convolutional-neural-networks/
Let me know if you need more help on that!
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@philipperemy Thanks
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Related Issues (20)
- Restricting attention weights to domain
- Hiddent state parameter, what really should be passed? HOT 1
- pip install and numpy, keras packages are forced to be uninstalled HOT 1
- Use this repository for CNN HOT 1
- 2D attention HOT 6
- weird attention weights when adding sequence of numbers. HOT 1
- attention when using more than one feature HOT 1
- get_config HOT 14
- Using attention with multivariate timeseries data
- Loading model problems HOT 5
- Interpreting attention weights for more than one input features. HOT 2
- Add guidance to README to use Functional API for saving models that use this layer HOT 4
- Attention Mechanism not working HOT 10
- what do the h_t mean in the Attention model? HOT 1
- Output with multiple time steps HOT 1
- Attention not working for MLP HOT 2
- TypeError: Expected `trainable` argument to be a boolean, but got: 64 HOT 3
- Please update version HOT 1
- TypeError: __call__() takes 2 positional arguments but 3 were given HOT 2
- Number of parameters in Attention layer HOT 2
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