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.
Create an E-R model based on the following scenarios: Note: is a free web application for creating diagrams. I have provided a video showing how to
Create an E-R model based on the following scenarios: Note: is a free web application for creating diagrams. I have provided a video showing how to use this application. You are welcome to use the modeling software of your choice (Visio, Lucid Charts, etc.). Your models must use crows’ foot