Delta Neural Networks

Delta Neural Networks are a type of artificial neural network that focus on predicting changes in data rather than absolute values. They harness past data to learn how things evolve over time, making them especially useful for tasks like forecasting and time-series analysis. By capturing the differences or "deltas" between data points, these networks can adapt and respond to trends or shifts effectively. This approach helps improve accuracy in various applications, such as stock market predictions or weather forecasting, where understanding change is crucial for making informed decisions.