Backpropagation is a fundamental concept in both AI and machine learning. It's a method used in training neural networks by adjusting the weights of the nodes based on the error rate obtained in the previous epoch (iteration). The main difference lies in the application. In AI, backpropagation is used to enable the system to learn from its mistakes and improve its predictions over time. In machine learning, it's used to optimize the model's performance by minimizing the error rate. However, it's important to note that AI and machine learning often overlap, and backpropagation is a common technique in both.
Learn about the latest AI tools available in business, like AI video generators, audio, video game c...
View report