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 & 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>
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