Introduction
In recent years, the field of artificial intelligence (AI) has witnessed a remarkable surge in the development of generative AI models. These models can...
Introduction
LeNet-5, a pioneering convolutional neural network (CNN) developed by Yann LeCun and his team in the 1990s, was a game-changer in computer vision and...
Introduction
In the exciting subject of computer vision, where images contain many secrets and information, distinguishing and highlighting items is crucial. Image segmentation, the process...
Convolutional Neural Networks (CNNs) have become one of the most popular deep learning techniques in recent years. They are widely used in image and...
Introduction
The current trend in NLP includes downloading and fine-tuning pre-trained models with millions or even billions of parameters. However, storing and sharing such large...
Introduction
Bayesian Networks or statistics form an integral part of many statistical learning approaches. It involves using new evidence to modify the prior probabilities of...
A technical paper titled “Hardware-Software Co-design for Side-Channel Protected Neural Network Inference” was published (preprint) by researchers at North Carolina State University and Intel.
Abstract
“Physical...
Introduction
PyTorch is a popular open-source machine-learning library that has recently gained immense popularity among data scientists and researchers. With its easy-to-use interface, dynamic computational...
The sigmoid function is a fundamental component of artificial neural networks and is crucial in many machine-learning applications. This blog post will dive deep...
