<p dir="ltr">These files are the weights from the models described in our paper, "Convolutional Neural Networks for the Automated Detection of Strong Gravitational Lensing" (<a href="https://academic.oup.com/mnras/article/505/4/6155/6295319" rel="noreferrer" target="_blank">https://academic.oup.com/mnras/article/505/4/6155/6295319</a>), trained for a varying number of epochs.</p><p dir="ltr">The dataset on which these models have been trained is available on the Gravitational Lens Finding Challenge 1.0 web page:<br><a href="http://metcalf1.difa.unibo.it/blf-portal/gg_challenge.html" rel="noreferrer" target="_blank">http://metcalf1.difa.unibo.it/blf-portal/gg_challenge.html</a></p><p dir="ltr"><br></p><p dir="ltr">The code written to train and load these models is available on the GitHub repository:<br><a href="https://github.com/DanielMagro97/LEXACTUM" rel="noreferrer" target="_blank">https://github.com/DanielMagro97/LEXACTUM</a></p><p><br></p><p dir="ltr">These models were also previously uploaded to, and are accessible on, Zenodo:<br><a href="https://zenodo.org/records/4299924" rel="noreferrer" target="_blank">https://zenodo.org/records/4299924</a></p>
Funding
D. Magro benefited from a grant: Osservatorio Astrofisico di Catania - Istituto Nazionale di Astrofisica, MoU: "High performance computing in astronomy, astrophysics and particle physics"