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.
Follow the attach instructions to complete this work. Note: Make sure it aligns with the attach Rubric.A project to do on
Follow the attach instructions to complete this work. Note: Make sure it aligns with the attach Rubric. A project to do on Movie Instructions For the Final Project, you will select at least one film that represents your career or career goals. For example, if you are working toward a cybersecurity