Deep Learning Assessment of galaxy morphology in S-PLUS DataRelease 1
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Deep Learning models used in the paper “Deep Learning Assessment of galaxy morphology in S-PLUS DataRelease 1 “. We share the .h5 Deep Learning models trained using S-PLUS.:<br> <br> EfficientNetB2 (3 Bands – pretrained), EfficientNetB2 (5 Bands), EfficientNetB2 (8 Bands), EfficientNetB2 (12 Bands)<br> <br> We release the catalog of our three samples: The Train and Validation, Ambiguous and Blind samples. <br>
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Zenodo创建时间：
2021-06-01
