Neural networks are a type of computer system that work a bit like how our brains function. They help computers learn and make decisions by using some important ideas:

1. Neuron Simulation:

   • Just like human neurons, which send signals when they get the right input, neural networks have similar connections. They change how strong those connections are during training, helping them learn better.

2. Learning Basis:

   • A method called backpropagation helps these networks learn from their mistakes. This technique often lets them get things right 75-80% of the time across different tasks.

3. Statistics:

   • Neural networks are great at spotting patterns in large amounts of data. For example, when it comes to understanding images, they can cut down mistakes by up to 60%.

4. Parallel Processing:

   • These networks can look at many pieces of information at once. This is similar to how our brains work, making it easier for them to learn quickly and effectively.