Dropout in an AlexNet-based CNN raises R² to ~0.96 and reduces SIE parameter errors by 60-76% on simulated galaxy-galaxy lens images.
Dozat, inProceedings of the 4th International Conference on Learning Representations, Workshop Track(San Juan, Puerto Rico, 2016) pp
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Enhancing Gravitational Lens Study with Deep Learning: A Study on Effects of Dropout Regularization
Dropout in an AlexNet-based CNN raises R² to ~0.96 and reduces SIE parameter errors by 60-76% on simulated galaxy-galaxy lens images.