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

A topic that's often very confusing for beginners when using neural networks is data normalization and encoding. Because neural networks work internally with numeric data, binary data (such as sex, ...

A major AI architecture. A neural network is employed for many pattern recognition applications; however, its most popular use is the creation of language models used by ChatGPT, Gemini and other ...

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex, age, state where they live and ...

The Lorenz attractor is an example of complex dynamical systems. Two neuroscientists have discovered a way to learn complex ...

If you are curious and want to learn how does AI work, well, follow our detailed explainer on Artificial Intelligence's ...

A deep neural network (DNN) is a system that is designed similar to our current understanding of biological neural networks in the brain. DNNs are finding use in many applications, advancing at a fast ...