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 ...

The repository contains the code for the project Real-time Domain Adaptation in Semantic Segmentation for the Machine Learning and Deep Learning 2021/2022 class. The repository is intended as a ...

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

Ivan Vasilev started working on the first open source Java deep learning library with GPU support in 2013. The library was acquired by a German company, where he continued to develop it. He has also ...