There are two major machine learning approaches: supervised and unsupervised. Supervised learning uses labelled data for tasks like classification, while unsupe ...

SegLoss: This repository discloses cost functions designed for the semantic segmentation tasks, namely, Active Boundary Loss, Boundary Loss and Distance Trasform Loss.

AI is transforming supply chain automation, enabling retailers to optimize operations and innovate with machine learning and ...

In today’s rapidly evolving digital landscape, machine learning (ML) has emerged as a game-changer across industries. However, diving headfirst into ...

Deep learning uses deep neural networks (DNNs) to analyze data and identify complex patterns that reveal relationships. Each layer in a DNN performs calculations, and it’s the number of layers and ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...