Now showing items 1-2 of 2
Using Machine Learning to Study the Relationship Between Galaxy Morphology and Evolution
(Johns Hopkins University, 2016-07-05)
We can track the physical evolution of massive galaxies over time by characterizing the morphological signatures inherent to different mechanisms of galactic assembly. Structural studies rely on a small set of measurements ...
THE SPATIAL INDUCTIVE BIAS OF DEEP LEARNING
(Johns Hopkins University, 2017-03-17)
In the past few years, Deep Learning has become the method of choice for producing state-of-the-art results on machine learning problems involving images, text, and speech. The explosion of interest in these techniques ...