155 results about "Logit" patented technology

In statistics, the logit (/ˈloʊdʒɪt/ LOH-jit) function or the log-odds is the logarithm of the odds p/(1 − p) where p is probability. It is a type of function that creates a map of probability values from [0,1] to (-∞,+∞). It is the inverse of the sigmoidal "logistic" function or logistic transform used in mathematics, especially in statistics. In deep learning, the term logits layer is popularly used for the last neuron layer of neural networks used for classification tasks, which produce raw prediction values as real numbers ranging from (-∞,+∞).