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 ...

Inferred movements — New research from the University of Edinburgh and Adobe Research could be a huge leap forward in allowing creating more natural in-game movements. The research uses deep neural ...

[Sean Hodgins]’s calls his three-part video series an Arduino Neural Network Robot but we’d rather call it an enjoyable series on prototyping, designing a board with surface mount parts, assembling it ...

Smooth developer experience is fundamental in artificial intelligence designs. Development toolkits can streamline the preparation of trained neural networks for edge and low-latency data-center ...

Computer programming has never been easy. The first coders wrote programs out by hand, scrawling symbols onto graph paper before converting them into large stacks of punched cards that could be ...

If you would like to learn more about building your very own neural networks or machine learning you may be interested in a free course has been made available by the team over at freeCodeCamp.org.

I was reading yet another document about artificial intelligence (AI). The introduction was covering the basics and the history of the subject. The authors mentioned expert systems and the real flaws ...

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 ...