Convolutional neural networks (IMAGE) International Centre for Radio Astronomy Research Caption Being able to distinguish a lenticular galaxy from the other types can be difficult for human eyes, but the convolutional layers look for features we can't see. Also, a CNN never tires, and if the image is flipped or rotated, that won't cause the CNN to make a mistake. Credit Mitchell Cavanagh/ICRAR Usage Restrictions None License Licensed content Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.