As the name suggests, neural networks are inspired by the brain. A neural network is designed to mimic how our brains work to recognize complex patterns and improve over time.
Neural networks train themselves to handle large datasets, recognize patterns in that data, and then predict the output for a new set of similar data. Neural networks can be tuned to adapt to new data and situations, which essentially allows them to learn from experience and improve over time.
