Neural networks are inspired by the brain's structure. Neurons (nodes) process information, and layers organize these nodes. Weights and biases adjust the neuron's strength, just like learning from experience.
Deep learning involves large and complex neural networks. They're behind things like image recognition, where the network "learns" to recognize objects in pictures.