Section 19.6.5 noted that the output of the logistic function could be interpreted as a probability p assigned by the model to the proposition that f(x)=1; the probability that f(x)=0 is therefore 1 – p. Write down the probability p as a function of x and calculate the derivative of log p with respect to each weight wi. Repeat the process for log(1-p). These calculations give a learning rule for minimizing the negative-log-likelihood loss function for a probabilistic hypothesis. Comment on any resemblance to other learning rules in the chapter.
STOP! You cannot complete this assignment successfully without completing your Review of Literature. If you were absent, you
STOP! You cannot complete this assignment successfully without completing your Review of Literature. If you were absent, you are required to watch the missed class session. Below is an additional resource on Literature Reviews, if you need assistance beyond the W. 8 PPT and class session: Click here –> “Literature