Quantile Loss
Quantile Loss is a loss function used in regression tasks to predict conditional quantiles of a target variable.
278 plain-language definitions from the TiorAI glossary, filed under Deep Learning & Neural Networks. Every entry opens with a one-sentence definition, then explains where the term is used.
Quantile Loss is a loss function used in regression tasks to predict conditional quantiles of a target variable.
Quantization is the process of converting a continuous range of values into a finite range of discrete values.