Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.

Abstract: Conventional training of deep neural networks requires a large number of the annotated image which is a laborious and time-consuming task, particularly for rare objects. Few-shot object ...

Today I brushed off my painting skills and followed a Christmas and winter-themed Bob Ross painting tutorial. The only problem is I'm not a great painter, and to put myself at even more of a ...

A Texas state representative is speaking out after a Texas A&M student was allegedly removed from a class for questioning transgender-related course content. "After serving under President Trump, I ...

Abstract: Open-world object detection (OWOD) is a challenging problem that combines object detection with incremental learning and open-set learning. Compared to standard object detection, the OWOD ...