ASCL.net

Astrophysics Source Code Library

Making codes discoverable since 1999

ASCL Code Record

[ascl:2204.004] Bayesian SZNet: Bayesian deep learning to predict redshift with uncertainty

Bayesian SZNet predicts spectroscopic redshift through use of a Bayesian convolutional network. It uses Monte Carlo dropout to associate predictions with predictive uncertainties, allowing the user to determine unusual or problematic spectra for visual inspection and thresholding to balance between the number of incorrect redshift predictions and coverage.

Code site:
https://github.com/podondra/bayesian-sznet
Bibcode:
2022ascl.soft04004P

Views: 2072

ascl:2204.004
Add this shield to your page
Copy the above HTML to add this shield to your code's website.