Neural networks are computational models that mimic the human brain's functions, enabling tasks like pattern recognition and decision-making. These models consist of interconnected nodes or neurons that learn from data. The evolution of neural networks spans from early concepts in the 1940s to the rise of deep learning in recent years. Neural networks work by adjusting weights and biases during training to improve their performance. The technology is fundamental in machine learning applications such as image recognition, gaming, and natural language processing.
For more details, check out the full article: What is a neural network.