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 ...

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 ...

Neurons convey information through complex temporal patterns of action potentials across neuronal ensembles. Without sufficient prior knowledge, observers of this activity would be left to guess as to ...

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 ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

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 ...

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 ...