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.
Week 10
Read attachment for details Week 8 Feedback Overall Feedback Theory is one of the most difficult concept to grasp. Your study must be based on a theory and align with what you are attempting to explore and what you are trying to answer based on previous gaps in research. Well