Applying a Deep Learning Approach to Galaxy Classification with Galaxy Zoo

<p>Using classical Convolutional Neural Networks (CNN) to classify the galaxies of the Galaxy Zoo dataset is by no means a novel idea and has been investigated repeatedly and with higher frequency with the rise of Machine Learning literacy and spread across Data Science domains.</p> <p>However, combining modified galaxy images with other metrics captured in the SDSS DR7 &amp; DR8 and feeding this collective information into a network presents an opportunity to increase accuracy of classifiers with the additional benefit of potentially learning something new about the classification of these abstract objects.</p> <p><a href="https://medium.com/@thomas.mcrobie999/applying-a-deep-learning-approach-to-galaxy-classification-with-galaxy-zoo-2-afb51c81541f"><strong>Click Here</strong></a></p>
Tags: Galaxy Zoo