There’s tinn — the tiny neural network. If you can compile 200 lines of standard C code with a C or C++ compiler, you are in business. There are no dependencies on other code.

Although neural networks have been studied for decades, over the past couple of years there have been many small but significant changes in the default techniques used. For example, ReLU (rectified ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

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 ...

Mohamad Hassoun, author of Fundamentals of Artificial Neural Networks (MIT Press, 1995) and a professor of electrical and computer engineering at Wayne State University, adapts an introductory ...

In this Perspective, the author examines how reading and writing the neural code may be linked. He reviews evidence defining the nature of neural coding of sensory input and asks how these ...

As AI becomes a ubiquitous part of everyday life, people increasingly understand how it works. Whereas traditional computer ...