Artificial Neural Networks (ANN's) are mathematical models inspired by the human brain that process and learn from information.ANN's consist of interconnected layers, including input, hidden, and output layers, that mimic the functioning of neurons.Perceptron-based ANN's use forward propagation and back propagation to process data, adjust weights, and optimize accuracy.ANN's have various applications, including image recognition, recommendation systems, and autonomous vehicles.