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.
To complete this assignment, review the prompt and grading rubric in the Module Two Activity Guidelines and Rubric. When you have finished your work,
To complete this assignment, review the prompt and grading rubric in the Module Two Activity Guidelines and Rubric. When you have finished your work, submit the assignment here for grading and instructor feedback.