Radio Galaxy Zoo: compact and extended radio source classification with deep learning
Radio Galaxy Zoo: compact and extended radio source classification with deep learning
Machine learning techniques have been increasingly useful in astronomical applications over the last few years, for example in the morphological classification of galaxies. Convolutional neural networks have proven to be highly effective in classifying objects in image data. The current work aims to establish when multiple components are present, in …