The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.

But the goal of deep learning projects is not accurate parsing of data but using it as a sawhorse for synthetic consciousness, creating a machine that can not just identify information but ...

Deep learning has delivered super-human accuracy for image classification, object detection, image restoration and image segmentation—even handwritten digits can be recognized.