Mutual information vs Cross Entropy
Cross-entropy is a measure of error, while mutual information measures the shared information between two variable. Both concepts used in information theory, but they serve different purposes and are applied in different contexts. Let’s understand both in complete detail. Cross-Entropy Cross-entropy measures the difference between two probability distributions. Specifically, it quantifies the amount of additional …
