Comments (1)
Hello,
They are attention weights. I have used them to show which input epochs are important to score the sleep stages. Please look at the visualize.py file where it plots the attention map.
Regards,
Sajad
from sleepeegnet.
Related Issues (20)
- Verifying on different dataset and packaging HOT 1
- ImportError: No module named layers.core HOT 2
- inter patient paradigm
- parameter settings
- ValueError: use_beamsearch_decode=True
- Python 2.x EOL HOT 4
- ValueError: need at least one array to concatenate HOT 6
- the loss function is inconsistent with that in the paper
- why the ouput length is fixed?
- What do script commands in the readme file run with? please
- chmod etc. command How to use it under Windows
- can't get the results as you provided with your neural network
- 请问这个不能在windows系统使用吗
- UnicodeDecodeError: 'gbk' codec can't decode byte 0xe4 in position 2050: illegal multibyte sequence HOT 1
- UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe4 in position 2050: invalid continuation byte HOT 1
- The overall accuracy is calculated as binary classification
- Memory limited HOT 1
- Issue with using Beam Search Algorithm HOT 1
- Hi. I have a question. HOT 9
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from sleepeegnet.