Construct by hand a neural network that computes the XOR function of two inputs. Make sure to specify what sort of units you are using.
Answer to relevant QuestionsConstruct a support vector machine that computes the XOR function. It will be convenient to use values of 1 and —1 instead of I and 0 for the inputs and for the outputs. So an example looks like ([—1. ii, 1) or ([—1, ...Suppose you had a neural network with linear activation functions. That is, for each unit the output is some constant times the weighted sum of the inputs.a. Assume that the network has one hidden layer. For a given ...The direct utility estimation method in Section 21.2 uses distinguished terminal states to indicate the end of a trial. How could it be modified for environments with discounted rewards and no terminal states?Is reinforcement learning an appropriate abstract model for evolution? What connection exists, if any, between hardwired reward signals and evolutionary fitness?This exercise is concerned with the variable elimination algorithm in Figure. a. Section 14.4 applies variable elimination t the query P (Burglary│JohnCalls = true, Mary Calls = true). Perform the calculations ...
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