A practical and beginner-friendly guide to building neural networks on graph data

Inspired by the biological nervous system, neural networks form a novel structure for information processing. Compared with conventional computers

Convolutional Neural Networks were originally developed by Yann Lecun, who was working at Bell Labs in New Jersey, and Geoffrey Hinton, who was working at the University of Toronto

Dive into the world of Convolution Neural Networks (CNN), learn how they work, how to apply them for NLP, and how to tune CNN hyperparameters for best performance

What are Steerable Neural Networks and context

Convolutional Neural Network (CNN) is a type of Neural Network Architecture that is widely used for performing deep learning on image data

English tutorial about prediction with neural networks, including an interactive browser-based example

Master neural networks to uncover hidden patterns in your data. Learn practical implementation strategies, best practices, and real-world applications for better business decisions

Skip to primary content Skip to secondary content Main menu Tag Archives: neural networks First Draft of First Chapter of My Book “Understanding AI” Posted on March 29, 2026 by Stephen Packard 3 So I have decided to write a book. Crazy, perhaps. It is something I have wanted to do for years and faced many false starts. I think a lot of people have been through that. It’s not easy, but I knew that. It’s actually harder than you’d ever imagine, at least for me, but then again, this is the first time

Neural Networks for Object Recognition Advancements in AI Translation OCR Accuracy. Neural Networks for Object Recognition Advancements in AI Translatio