What is the meaning of the word logits in TensorFlow?

Logits are values that are utilized as a contribution to softmax. To comprehend this better snap here this is true by TensorFlow.

Hence, Logits are used to map probabilities [0,1] to R [-inf, inf]

L=ln(p/1-p) p=1/1+e^-L

From limits we conclude that the probability approaching 0.5 corresponds to a logits of 0. Therefore, +ive logits correspond to probability of greater than 0.5 and negative corresponds to a probability value of less than 0.5.

Sometimes they also refer to the inverse of the sigmoid function. It's mainly used in Statistics.

Become Master of Tensorflow by going through an online Artificial Intelligence Course.