Figure 2 from Identifying Exoplanets with Deep Learning. III. Automated Triage and Vetting of TESS Candidates

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Identifying Exoplanets with Deep Learning. III. Automated Triage and Vetting of TESS Candidates

Authors: Liang Yu, Andrew Vanderburg, Chelsea Huang, Christopher J. Shallue, Ian J. M. Crossfield, B. Scott Gaudi, Tansu Daylan, Anne Dattilo, David J. Armstrong, George R. Ricker, Roland K. Vanderspek, David W. Latham, Sara Seager, Jason Dittmann, John P. Doty, Ana Glidden, and Samuel N. Quinn

2019 The Astronomical Journal 158 25.

Provider: AAS Journals

Caption: Figure 2.

Architecture of AstroNet-Triage (identical to that of the best-performing neural network from Shallue & Vanderburg 2018). Convolutional layers are denoted conv 〈kernel size〉-〈number of feature maps〉, max pooling layers are denoted maxpool 〈window length〉-〈stride length〉, and fully connected layers are denoted Fully connected-〈number of units〉.

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