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| Paper: |
Neural Networks with Keras, TensorFlow, and the VLA Sky Survey |
| Volume: |
538, ADASS XXXII |
| Page: |
218 |
| Authors: |
Brian R. Kent |
| 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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