feat(model): Implement stacked Bi-LSTM architecture and optimized cal…#16
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📝 Pull Request Description
Description
Give a brief description of the pull request.
This PR addresses issue #5 (Model and Hyperparameter Optimization) by implementing a Stacked Bidirectional LSTM (Bi-LSTM) architecture. This change enhances feature extraction from the ECG time series. It also introduces optimized training parameters, including Early Stopping (patience 15) and ReduceLROnPlateau callback for improved convergence stability.
Semver Changes
[ ] Patch (bug fix, no new features)
[x] Minor (new features, no breaking changes)
[ ] Major (breaking changes)
Issues
List any issues that this pull request closes.
Closes #5
Checklist
[x] I have read the Contributing Guidelines.