When we output a forecast, we're either explicitly or implicitly outputting a probability distribution. For example, if we forecast the AQI in Berkeley tomorrow to be "around" 30, plus or minus
Cross-posted from the BAIR Blog. To understand neural networks, researchers often use similarity metrics to measure how similar or different two neural networks are to each other. For instance, they are used to