A team has developed a novel approach for comparing neural networks that looks within the 'black box' of artificial intelligence to help researchers understand neural network behavior. Neural networks ...

Each algorithm is built for a different type of problem, and they all engage in subtly different kinds of machine learning. Here, we'll discuss four major subtypes of software neural networks: ...

A deep-learning algorithm developed by researchers is designed to help machines navigate in the real world, where imperfect or 'adversarial' inputs may cause uncertainty. In a perfect world, what you ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

What Is A Generative Adversarial Network? A generative adversarial network (GAN) is a type of machine learning model that uses two competing neural networks to generate new data that resembles the ...