A system of algorithms modeled after the human brain. It learns patterns from data to make predictions.
Neurons: Basic units that receive input and fire signals
Layers: Input layer, hidden layers, output layer
Weights: Values that determine signal strength between neurons
The learning algorithm. The network checks its errors and adjusts weights backwards from output to input.
Image recognition, language translation, astrophysics data analysis.