News

Neural Network Lab Deep Neural Networks: A Getting Started Tutorial Deep Neural Networks are the more computationally powerful cousins to regular neural networks. Learn exactly what DNNs are and why ...
The term deep neural network can have several meanings, but one of the most common is to describe a neural network that has two or more layers of hidden processing neurons. This article explains how ...
The follow-on tutorial “for experts” covers some of the same material again, faster, but then shows you how to create a multilayer convolutional neural network to improve the results to about ...
Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
While neural networks (also called “perceptrons”) have been around since the 1940s, it is only in the last several decades where they have become a major part of artificial intelligence. This ...
But there are several key differences between how AI and humans think and learn. Most recent AI is built from artificial neural networks, or “neural nets” for short.
Simone Betteti, Giacomo Baggio, Francesco Bullo, Sandro Zampieri. Input-driven dynamics for robust memory retrieval in Hopfield networks. Science Advances, 2025; 11 (17) DOI: 10.1126/sciadv.adu6991 ...
A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification ...