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shahrearkhan's Projects

convolutional-neural-network-using-matlab-on-mnist icon convolutional-neural-network-using-matlab-on-mnist

A convolutional neural network (CNN or ConvNet) is one of the most popular algorithms for deep learning, a type of machine learning in which a model learns to perform classification tasks directly from images, video, text, or sound.

galaxy-cnns icon galaxy-cnns

Using SDSS imaging to predict galaxy metallicity. Maintained by @jwuphysics @boada

galaxy-image-classification icon galaxy-image-classification

SDSS telescopes have captured over 40 TB worth of galaxy images and classification of these images is the first step towards obtaining a deeper understanding of physical processes within them, star formation, and the nature of the universe. Since we could not find an easily accessible dataset for galaxy classification, we compiled a dataset for Galaxy classification and provided benchmarks with some of the common learning algorithms that would help in automating the galaxy classification which until recently had to be performed by hand by expert astronomers. We classify the images of galaxies into four classes: spiral, elliptical, irregular, and invalid.

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