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| Paper: |
Neural Networks with Keras, TensorFlow, and the VLA Sky Survey |
| Volume: |
538, ADASS XXXII |
| Page: |
218 |
| Authors: |
Kent, Brian R. |
| DOI: |
10.26624/TCCH7038 |
| Abstract: |
The NRAO VLA Sky Survey (VLASS) project is an ongoing all-sky survey at 3 GHz. The calibrated data projects and images are available to the astronomical community. The 2.5 arcsecond angular resolution provided by the project allows us to explore different galaxy morphologies from the large catalog of resolved objects. Keras used with TensorFlow gives us a high-level framework in Python to rapidly prototype deep learning applications. We demonstrate results from a simple neural network classifier using Keras and TensorFlow 2.0. |
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