Neural Networks are complex algorithms inspired by the structure and function of the human brain, consisting of interconnected units called neurons. They are designed to recognize patterns in data, making them incredibly powerful for tasks like image and speech recognition. Neural Networks are built of layers: an input layer, one or more hidden layers, and an output layer, which progressively transform the input into useful information. Related terms include deep learning, perceptron, and backpropagation.