In this study we propose a deep learning model architecture using long short-term memory (LSTM) networks and additive attention mechanisms for vetting transiting exoplanet candidates. Our method is applied to two different data sets (Kepler and…
In this study we propose a deep learning model architecture using long short-term memory (LSTM) networks and additive attention mechanisms for vetting transiting exoplanet candidates. Our method is applied to two different data sets (Kepler and…