Neural networks have gone mainstream with a lot of heavy-duty — and heavy-weight — tools and libraries. What if you want to fit a network into a little computer? There’s tinn — the tiny neural network ...

James McCaffrey explains what neural network activation functions are and why they're necessary, and explores three common activation functions. Understanding neural network activation functions is ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Neural networks are all the rage right now with increasing numbers of hackers, students, researchers, and businesses getting involved. The last resurgence was in the 80s and 90s, when there was little ...

Language generators such as ChatGPT are gaining attention for their ability to reshape how we use search engines and change the way we interact with artificial intelligence. However, these algorithms ...

Frequency discrimination in the sense of flutter is a useful model to understand how neural codes are related to perception, working memory and decision making. The task can be thought of as a series ...

Your smartphone is about to get a brain in the form of a neurally inspired computer chip, and it will be based on the first truly new sort of computing hardware since the invention of computers ...

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Understanding neural network activation functions is essential whether you use an existing software tool to perform neural network analysis of data or write custom neural network code. This article ...