A Neural Network Engine is an advanced machine learning system that is supposed to replicate the structure and function of the human brain to detect patterns, classify data, and make choices without the need for explicit programming. These networks consist of layers of interconnected nodes (or neurons) that process input data and “learn” from it to improve over time. Neural networks are best suited for jobs that demand complicated pattern identification, such as image recognition, natural language processing, and predictive analytics. Businesses can employ neural network engines for a variety of purposes, such as fraud detection, tailored recommendations, and demand forecasting. As the system learns from more data, its accuracy improves, making it ideal for tasks that standard algorithms cannot handle.
