Machine Learning, Data Science, Programming, Artificial Intelligence, Software Development.
networks that allow the network to learn. During backpropagation the network is in a continual process of training, learning, adjusting and fine-tuning itself until it gets closer to the intended output. Backpropagation optimizes by comparing the intended output to the actual output using a loss