Supervised learning teaches AI models to predict outcomes using labeled data, while unsupervised learning explores unlabeled data to discover hidden patterns and insights.
Backpropagation is the neural network training process of feeding error rates back through a neural network to make it more accurate. Here’s what you need to know.