This is an algorithm neural networks use to improve their accuracy and performance. It works by calculating error in the output, propagating it back through the network, and adjusting the weights and biases of connections to get better results. Backpropagation Cognitive computing Hyperparameters Deep learning

The correct answer is: Backpropagation.<br /><br />Backpropagation is an algorithm used in neural networks to improve their accuracy and performance. It works by calculating the error in the output, propagating it back through the network, and adjusting the weights and biases of connections to get better results. This process helps the neural network to learn and make more accurate predictions over time.