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.
Please see attachment for instructions. W1 Discussion Instructions: Where it all Started In 250 word,
Please see attachment for instructions. W1 Discussion Instructions: Where it all Started In 250 word, answer the questions below with 4 evidence base scholarly articles in APA format. 1. Discuss what you find interesting about the origin of the internet covered in Chapters 7 and 8 of