CG: n CT: These three interwoven processes—a loss function that tracks model error across different inputs, the backward propagation of that error to see how different parts of the network contribute to the error and the gradient descent algorithms that adjust model weights accordingly—are how deep learning models “learn.” As such,

CG: n CT: Given the sheer volume of data that businesses handle today, metadata is indispensable. It enhances data accessibility, making it easier to navigate large data sets and convert raw information into actionable insights. For example, a retail business can use metadata to quickly find sales data for a