What is deep learning? This branch of AI programming works to create computer systems inspired by the way the brain works. These systems are especially good at dealing with large amounts of data ...

This guide provides a simple definition for deep learning that helps differentiate it from machine learning and AI along with eight practical examples of how deep learning is used today.

By learning that this differentiator is, in fact, vital to understanding the difference between two vehicles, it improves the probability of a correct outcome next time. So what can Deep Learning do?

Deep learning, a subset of machine learning, refers to machine learning that takes place on artificial intelligence neural networks.

Deep learning models go above and beyond traditional machine learning and can process data and recognize patterns much more efficiently.

Deep learning aids predictions by finding patterns in chaos -- and the advanced AI branch is disrupting many sectors.

Deep learning is a type of machine learning that learns by looking at lots of examples. In a way, deep learning is how we humans learn new things. For instance, you might teach a toddler to ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential ...

Deep learning algorithms have the potential to support numerous applications that drive innovation across federal IT.