Abstract: Moving object detection and counting the number of objects is a prominent challenge for researchers in various application fields. The most significant things that play a vital part in the ...

Abstract: In this article, we propose a generalization of the batch normalization (BN) algorithm, diminishing BN (DBN), where we update the BN parameters in a diminishing moving average way. BN is ...

Machine Learning Practical - Coursework 2: Analysing problems with the VGG deep neural network architectures (with 8 and 38 hidden layers) on the CIFAR100 dataset by monitoring gradient flow during ...

Despite decades of research proving their value at work, emotions remain one of the most undervalued—and misunderstood—resources available to leaders. Too many leaders still believe that emotions ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

The old adage, "familiarity breeds contempt," rings eerily true when considering the dangers of normalizing deviance. Coined by sociologist Diane Vaughan, this phenomenon describes the gradual process ...

Whether you’re watching a feature film or a television show, you’ve probably noticed big fluctuations in volume levels, especially when a commercial break pops up and nearly shatters your eardrums.

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...

Have you ever wished you could generate interactive websites with HTML, CSS, and JavaScript while programming in nothing but Python? Here are three frameworks that do the trick. Python has long had a ...