LEXACTUM trained model weights

These files are the weights from the models described in our paper, "Convolutional Neural Networks for the Automated Detection of Strong Gravitational Lensing" (https://academic.oup.com/mnras/article/505/4/6155/6295319), trained for a varying number of epochs.The dataset on which these models have been trained is available on the Gravitational Lens Finding Challenge 1.0 web page:http://metcalf1.difa.unibo.it/blf-portal/gg_challenge.htmlThe code written to train and load these models is available on the GitHub repository:https://github.com/DanielMagro97/LEXACTUMThese models were also previously uploaded to, and are accessible on, Zenodo:https://zenodo.org/records/4299924

本数据集包含了在论文《卷积神经网络在自动检测强引力透镜中的应用》中描述的模型所使用的权重，该论文发表于《 Monthly Notices of the Royal Astronomical Society 》，论文链接为：https://academic.oup.com/mnras/article/505/4/6155/6295319。这些模型是在不同轮次的迭代训练下得到的。用于训练这些模型的数据集可在引力透镜发现挑战赛1.0网页上获取：http://metcalf1.difa.unibo.it/blf-portal/gg_challenge.html。用于训练和加载这些模型的代码已托管在GitHub仓库中：https://github.com/DanielMagro97/LEXACTUM。此外，这些模型也已上传至Zenodo平台，可通过以下链接访问：https://zenodo.org/records/4299924。