A gradient network is a type of artificial intelligence (AI) that uses a type of learning called "deep learning." In deep learning, the AI looks at a lot of data and tries to figure out correlations between the data points. A gradient network is a kind of deep learning that uses something called a "gradient," which is a mathematical tool that helps the AI learn more quickly from the data it's looking at. The gradient network uses the gradient to measure how accurate its predictions are, and then it adjusts its algorithms so it can make better predictions in the future.