Computer Science: An Overview (13th Edition) (What's New in Computer Science)
13th Edition
ISBN: 9780134875460
Author: Glenn Brookshear, Dennis Brylow
Publisher: PEARSON
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Expert Solution & Answer
Chapter 11.5, Problem 1QE
Explanation of Solution
Determine the output of neurons with both the inputs 1:
The output of the patterns can be obtained by multiplying both inputs from both the digits in patterns separately and adding them.
The given patterns are as follows
The effective input with the first pattern is
The effective input with the second pattern is
Expert Solution & Answer
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Consider a neuron with a sigmoidal activation function. The input vector [x1,x2]=[1,1] and the weights are [0.5,0.3]. The bias term is 0.2. What will be the output of the neuron? Give your
answer correct to 2 decimal places after rounding (e.g. 0.45)
Answer:
Q1: Give the MP-neuron for Boolean func on a
Exactly what kind of calculations does a neuron perform? The activation function is calculated inside a neuron, and then a linear function (z = Wx + b) is computed. After calculating an activation function, a neuron uses the linear function z = Wx + b. A neuron "learns" a function g that linearly increases with input x (Wx + b). The average of all characteristics is calculated in a neuron, and then the result is fed into an activation function.
Chapter 11 Solutions
Computer Science: An Overview (13th Edition) (What's New in Computer Science)
Ch. 11.1 - Prob. 1QECh. 11.1 - Prob. 2QECh. 11.1 - Prob. 3QECh. 11.1 - Prob. 4QECh. 11.1 - Prob. 5QECh. 11.2 - Prob. 1QECh. 11.2 - Prob. 2QECh. 11.2 - Prob. 3QECh. 11.2 - Prob. 4QECh. 11.2 - Identify the ambiguities involved in translating...
Ch. 11.2 - Prob. 6QECh. 11.2 - Prob. 7QECh. 11.3 - Prob. 1QECh. 11.3 - Prob. 2QECh. 11.3 - Prob. 3QECh. 11.3 - Prob. 4QECh. 11.3 - Prob. 5QECh. 11.3 - Prob. 6QECh. 11.3 - Prob. 7QECh. 11.3 - Prob. 8QECh. 11.3 - Prob. 9QECh. 11.4 - Prob. 1QECh. 11.4 - Prob. 2QECh. 11.4 - Prob. 3QECh. 11.4 - Prob. 4QECh. 11.4 - Prob. 5QECh. 11.5 - Prob. 1QECh. 11.5 - Prob. 2QECh. 11.5 - Prob. 3QECh. 11.6 - Prob. 1QECh. 11.6 - Prob. 2QECh. 11.6 - Prob. 3QECh. 11.7 - Prob. 1QECh. 11.7 - Prob. 2QECh. 11.7 - Prob. 3QECh. 11 - Prob. 1CRPCh. 11 - Prob. 2CRPCh. 11 - Identify each of the following responses as being...Ch. 11 - Prob. 4CRPCh. 11 - Prob. 5CRPCh. 11 - Prob. 6CRPCh. 11 - Which of the following activities do you expect to...Ch. 11 - Prob. 8CRPCh. 11 - Prob. 9CRPCh. 11 - Prob. 10CRPCh. 11 - Prob. 11CRPCh. 11 - Prob. 12CRPCh. 11 - Prob. 13CRPCh. 11 - Prob. 14CRPCh. 11 - Prob. 15CRPCh. 11 - Prob. 16CRPCh. 11 - Prob. 17CRPCh. 11 - Prob. 18CRPCh. 11 - Give an example in which the closed-world...Ch. 11 - Prob. 20CRPCh. 11 - Prob. 21CRPCh. 11 - Prob. 22CRPCh. 11 - Prob. 23CRPCh. 11 - Prob. 24CRPCh. 11 - Prob. 25CRPCh. 11 - Prob. 26CRPCh. 11 - Prob. 27CRPCh. 11 - Prob. 28CRPCh. 11 - Prob. 29CRPCh. 11 - Prob. 30CRPCh. 11 - Prob. 31CRPCh. 11 - Prob. 32CRPCh. 11 - Prob. 33CRPCh. 11 - What heuristic do you use when searching for a...Ch. 11 - Prob. 35CRPCh. 11 - Prob. 36CRPCh. 11 - Prob. 37CRPCh. 11 - Prob. 38CRPCh. 11 - Suppose your job is to supervise the loading of...Ch. 11 - Prob. 40CRPCh. 11 - Prob. 41CRPCh. 11 - Prob. 42CRPCh. 11 - Prob. 43CRPCh. 11 - Prob. 44CRPCh. 11 - Prob. 45CRPCh. 11 - Draw a diagram similar to Figure 11.5 representing...Ch. 11 - Prob. 47CRPCh. 11 - Prob. 48CRPCh. 11 - Prob. 49CRPCh. 11 - Prob. 50CRPCh. 11 - Prob. 51CRPCh. 11 - Prob. 52CRPCh. 11 - Prob. 53CRPCh. 11 - Prob. 54CRPCh. 11 - Prob. 1SICh. 11 - Prob. 2SICh. 11 - Prob. 3SICh. 11 - Prob. 4SICh. 11 - Prob. 5SICh. 11 - Prob. 6SICh. 11 - Prob. 7SICh. 11 - Prob. 8SICh. 11 - Prob. 9SICh. 11 - Prob. 10SICh. 11 - Prob. 11SICh. 11 - Prob. 12SICh. 11 - A GPS in an automobile provides a friendly voice...Ch. 11 - Prob. 14SI
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Similar questions
- Consider a neuron with 3 inputs, 1 output, and a threshold (=0) activation function. If the two weights are w1 = 1, w2 = -1 and w3 = -1, and the bias is b = 1.5 (assuming the input to the bias is always +1), under which of the input below, the output will be 0?arrow_forwardWe have a single-input neuron with a bias. The output needs to be -1 for inputs less than 2 and +1 for inputs greater than or equal to 2. You need to determine: 1. an appropriate transfer function. 2. bias. How to calculate this in MATLAB?arrow_forwardConsider a neuron with 2 inputs, 1 output, and a threshold activation function. If the two weights are w1 = 1 and w2 = 1, and the bias is b = −1.5, then what is the output for input (0, 0)? What about for inputs (1, 0), (0, 1), and (1, 1)? Draw the discriminant function for this function, and write down its equation. Does it correspond to any particular logic gate?arrow_forward
- Which Al-controlled computations are more likely? unconstrained Al?arrow_forwardIf a regular expression (a | b) c converted into a state-diagram, then it will be represented as.. Which one is the right answer? A. G1 B. G2 C. G3 D. G4arrow_forward1. What does a neuron compute? A neuron computes an activation function followed by a linear function (z = Wx + b) A neuron computes a linear function (z = Wx + b) followed by an activation function A neuron computes a function g that scales the input x linearly (Wx + b) A neuron computes the mean of all features before applying the output to an activation functionarrow_forward
- draw an example of perception(perceptron).arrow_forwardExecute and show the python program for perceptron implementation with one neuron on output using a bias value for class 1 where x1 in random between -1.3 to 3.3, y1 in random between -1.5 to -2.7, for class 2 where x2 in random between -1 to -2.5 and y2 in random between -1.6 to -2.4 respectivelyarrow_forwardIs this true or false: Positive feedback loops have a propensity to reinforce the activity that triggered them.arrow_forward
- Compute w1,w2 and b for the Mc Culloch Pitts neuron using the input and outputs given below?arrow_forwardHow do I understand that I am getting the correct output when using the sigmoid function in a neural network? Considering that a sigmoid function (activation function) helps with checking the value between 0.00001 to 1.Also, what does it mean if you get output that are around 0.999877 or 0.999955 or within those values? Do these values represent how accurate the neural net is?arrow_forward25. Write a MATLAB program to plot the curve of cosec2(x), given x = 0:0.01:2*pi.arrow_forward
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