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 ...

ABSTRACT: Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques ...

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 ...

Add a description, image, and links to the image-normalization topic page so that developers can more easily learn about it.

Abstract: The rise in popularity of wearable robotic devices has brought many opportunities in the area of assistive devices for rehabilitation. However, despite their numerous advantages, these ...

Early signs of one of the most common reproductive cancers may now be spotted with near-perfect accuracy, thanks to a groundbreaking artificial intelligence model. For years, diagnosing endometrial ...