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- Let us take an example of a neural network simulating an XNOR function. So if u 0 %3D +1 0.5 -0.5 a, -1 a X, XNOR X2 1.5 X2 You can see that the last neuron takes input from two neurons before it. Suppose X1 is 0 and X2 is 1, what will be the output for the below neural network? 1 0.55 1.5There are many sensors on a wind turbine, based on each sensor's reading many alerts are generated as (start, end). For easier monitoring, our customer is asking to raise alerts on the turbine level instead of on each sensor. If any sensor is having an alert, there should be an alert for the entire wind turbine. Suppose the alerts created with two sensors readings are [(0,3),(5,10),(1,4),(10,15)], then the turbine level alert should be [(0,4),(5,15)]. Return the alerts sorted by the start timestamp. If there is no alert from the sensor level, return an empty array []. Code needs to be in Python?Consider a fully-connected artificial neural network with one hidden layer, i.e., a multilayer perceptron (MLP), which has 5 inputs, 3 neurons in the hidden layer, and 1 output neuron. The relation between the output y and the inputs x = [x1, . . . , x5] is given by y(x) = f (w, φ(x)), where φ(x) = [φ1(x), φ2(x), φ3(x)] 1. Draw the diagram that shows the inputs, nuerons, connections, correspond-ing weight parameters, and activation functions. 2. Explain the relation y(x) = f (w, φ(x)): write the explicit relation, explainthe role of functions f and φ(x), and state examples of functions.
- 1. The impulse response of a causal system is: h(t) = A cos(wt) e¯¹/¹u(t) where u(t) is the Heaviside step function. The response is measured experimentally with a sampling interval of T. a. Write an expression for the sampled impulse response h[n]. b. Calculate the z transform of h[n] and write an expression for H[z]. Use the tables provided below as necessary. c. Does the system have an infinite impulse response (IIR) or finite impulse response (FIR)? Justify your answer. d. What is the DC gain of H[z]? e. Write a difference equation that describes the output y[n] in terms of input x[n].The following Boolean function: f(x1, x2, x3) = 1 if and only if exactly one of x1, x2 and x3 is 1. Construct by hand a neural network that computes f, using the minimal number of units. Make sure to specify what sort of units you are using. Prove that the function f defined in (i) is not implementable with a single perceptron.Construct a FSM that models a vending machine that has a door that can be opened only after $0.35 in any combinations of nickels, dimes, and quarter. Once the door can be opened, the customer opens it and takes a paper, closing the door. No change is ever returned no matter how much extra money has been inserted. The next customer starts with no credit. Determine the state table. Draw the state diagram.
- Correct answer will be upvoted else Multiple Downvoted. Computer science. There is an endless 2-dimensional framework. The robot remains in cell (0,0) and needs to arrive at cell (x,y). Here is a rundown of potential orders the robot can execute: move north from cell (i,j) to (i,j+1); move east from cell (i,j) to (i+1,j); move south from cell (i,j) to (i,j−1); move west from cell (i,j) to (i−1,j); stay in cell (i,j). The robot needs to arrive at cell (x,y) in as couple of orders as could really be expected. In any case, he can't execute a similar order at least twice in succession. What is the base number of orders needed to reach (x,y) from (0,0)? Input The main line contains a solitary integer t (1≤t≤100) — the number of testcases. Every one of the following t lines contains two integers x and y (0≤x,y≤104) — the objective directions of the robot. Output For each testcase print a solitary integer — the base number of orders needed for the robot to…Let's assume we have ten people standing around in a circle. Each person may speak only to the person on his or her right. Any time a person hears something from the left, he or she must immediately repeat it to the person on his or her right, and the person who originated a message expects to hear what he or she originally said to the person on his or her right be eventually repeated by the person on his or her left. That way, it is certain that the message got through the group without any errors. Being a real time analogy for one of the multiple access technique and local area technology. Identify it and explain its working and frame format in detail.Construct a FSM that models a vending machine that has a door that can be opened only after $0.35 in any combinations of nickels, dimes, and quarter. Once the door can be opened, the customer opens it and takes a paper, closing the door. No change is ever returned no matter how much extra money has been inserted. The next customer starts with no credit. A. Determine the state table. B. Draw the state diagram.
- Consider two cooperating processes P5 and P6. Suppose that, at any time, P6 want toenter its critical section. Write an algorithm using Peterson’s solution which shows thatP6 can finally enter into its criticalsection. Consider the turn value for P5 to be 10 andP6 to be 12.Suppose that F is a finite state machine with 6 states labeled 1 through 6. Suppose that the starting state is Land 4 and 6 are accepting states. The transition. function is as follows: (3, a) > 5 3 (1, a) → 2 (1, b)→ 3 (2. a) → 4 (2, b) → 3 (4, b) (i) Draw the state diagram of the machine. (ii) Find the production defined by each of the following words and determine which are accepted by the machine: abbaabb, ababaa, ababab, bbbaaaa (3, b) (4, a) (5, a) 4 (5.b)→ 6 (6. a) →→ 5 (6.b) -> 3 4 3From the chart, estimate (roughly) the number of transistors per IC in 2014. Using your estimate and Moore's Law, what would you predict the number of transistors per IC to be in 2040? In some applications, the variable being studied increases so quickly ("exponentially") that a regular graph isn't informative. There, a regular graph would show data close to 0 and then a sudden spike at the very end. Instead, for these applications, we often use logarithmic scales. We replace the y-axis tick marks of 1, 2, 3, 4, etc. with y-axis tick marks of 101 = 10, 102 = 100, 103 = 1000, 104 = 10000, etc. In other words, the logarithms of the new tick marks are equally spaced. Technology is one area where progress is extraordinarily rapid. Moore's Law states that the progress of technology (measured in different ways) doubles every 2 years. A common example counts the number of transitors per integrated circuit. A regular y-axis scale is appropriate when a trend is linear, i.e. 100 transistors,…