DEEP LEARNING FOR MORPHOLOGICAL CLASSIFICATION OF GALAXIES FROM SDSS
We present the results of applying deep convolutional neural network to the images of redshift-limited ( z < 0 . 1) sample of ∼ 300000 galaxies from the SDSS DR9. We aimed to classify galaxies into the two classes: Elliptical and Spiral. To create the training sample, we used a set of ∼ 6000 gala...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Odessa I. I. Mechnykov National University
2019-10-01
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| Series: | Odessa Astronomical Publications |
| Online Access: | http://oap.onu.edu.ua/article/view/182092 |