Using Deep Learning to Create Pro-Level Photographs
July 13, 2017. on Google Research Blog. . The full paper
Posted by Hui Fang, software sngineer, Machine Perception Machine learning (ML) excels in many areas with well defined goals. Tasks where there exists a right or wrong answer help with the training process and allow the algorithm to achieve its desired goal, whether it be correctly identifying objects in images or providing a suitable translation from one language to another. However, there are areas where objective evaluations are not available. For example, whether a photograph is beautiful is measured by its aesthetic value, which is a highly subjective concept.
It optimizes framing and parameters like saturation.