What are Neural Networks?

Neural networks are the backbone of many artificial intelligence systems, serving as powerful computational models inspired by the human brain. At their core, neural networks consist of interconnected nodes, or 'neurons,' organized in layers that process and transmit information. These artificial neurons work together to recognize patterns, make decisions, and solve complex problems, much like the biological neurons in our brains.

The structure of a neural network typically includes an input layer, one or more hidden layers, and an output layer. Data enters through the input layer, is processed and transformed as it passes through the hidden layers, and finally produces a result at the output layer. This layered architecture allows neural networks to learn from examples and generalize to new, unseen data, making them incredibly versatile for tasks such as image recognition, natural language processing, and even playing complex games.