Machine Learning for Pulsar Classification
Developed an artificial neural network, based on “Inception v3”, by using transfer learning with Tensorflow, for post-processing data from Arecibo telescope and GBT to detect neutron stars. Achived 19 times increase in efficiency.
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| Work Title | Machine Learning for Pulsar Classification |
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| License | GNU General Public License (GPLv3) |
| Work Type | Poster |
| Deposited | May 14, 2017 |
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