The study of galaxy formation and evolution is essential in understanding the origin and fate of the universe. This study is difficult due to the large-scale and vast span of data needed to create a complete picture of galaxies. Researchers have developed a new method to identify and collect such data in order to build a more accurate picture of galaxies. This method uses a machine learning technique called deep convolutional neural networks, which helps scientists identify features in observed galaxies much more quickly and accurately than ever before. This has allowed us to move closer to unraveling the mysteries of how our universe has evolved.