Assume that the hidden layer uses ReLU, whereas the output layer uses sigmoid activation. Assume SSE error. Answer the following questions, when the input is x = 4 and the true response is y=0
Assume that the hidden layer uses ReLU, whereas the output layer uses sigmoid activation. Assume SSE error. Answer the following questions, when the input is x = 4 and the true response is y=0
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
Related questions
Question
dont post unnecessary answer dont answer if you dont know else direct dislike dont post copied answer
![Q1. Consider the neural network in Figure 25.13. Let bias values be fixed at 0, and let
the weight matrices between the input and hidden, and hidden and output layers,
respectively, be:
W = (w₁, w2, w3) = (1, 1, −1)
W = (w₁, w, w3) = (0.5, 1,2)
Assume that the hidden layer uses ReLU, whereas the output layer uses sigmoid
activation. Assume SSE error. Answer the following questions, when the input is x =
4 and the true response is y = 0:
W1
W2
W3
Z1
Z2
w/₂
w/₂
23
Figure 25.13. Neural network for Q1.
(a) Use forward propagation to compute the predicted output.
(b) What is the loss or error value?
(c) Compute the net gradient vector 80 for the output layer.
(d) Compute the net gradient vector 8h for the hidden layer.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa5ec230f-36b2-4ca9-bfc6-3dc403666a54%2F499f7b12-b90a-478e-9813-cac83a77752b%2F8ty2zcz_processed.png&w=3840&q=75)
Transcribed Image Text:Q1. Consider the neural network in Figure 25.13. Let bias values be fixed at 0, and let
the weight matrices between the input and hidden, and hidden and output layers,
respectively, be:
W = (w₁, w2, w3) = (1, 1, −1)
W = (w₁, w, w3) = (0.5, 1,2)
Assume that the hidden layer uses ReLU, whereas the output layer uses sigmoid
activation. Assume SSE error. Answer the following questions, when the input is x =
4 and the true response is y = 0:
W1
W2
W3
Z1
Z2
w/₂
w/₂
23
Figure 25.13. Neural network for Q1.
(a) Use forward propagation to compute the predicted output.
(b) What is the loss or error value?
(c) Compute the net gradient vector 80 for the output layer.
(d) Compute the net gradient vector 8h for the hidden layer.
Expert Solution
![](/static/compass_v2/shared-icons/check-mark.png)
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 2 steps
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
Recommended textbooks for you
![Computer Networking: A Top-Down Approach (7th Edi…](https://www.bartleby.com/isbn_cover_images/9780133594140/9780133594140_smallCoverImage.gif)
Computer Networking: A Top-Down Approach (7th Edi…
Computer Engineering
ISBN:
9780133594140
Author:
James Kurose, Keith Ross
Publisher:
PEARSON
![Computer Organization and Design MIPS Edition, Fi…](https://www.bartleby.com/isbn_cover_images/9780124077263/9780124077263_smallCoverImage.gif)
Computer Organization and Design MIPS Edition, Fi…
Computer Engineering
ISBN:
9780124077263
Author:
David A. Patterson, John L. Hennessy
Publisher:
Elsevier Science
![Network+ Guide to Networks (MindTap Course List)](https://www.bartleby.com/isbn_cover_images/9781337569330/9781337569330_smallCoverImage.gif)
Network+ Guide to Networks (MindTap Course List)
Computer Engineering
ISBN:
9781337569330
Author:
Jill West, Tamara Dean, Jean Andrews
Publisher:
Cengage Learning
![Computer Networking: A Top-Down Approach (7th Edi…](https://www.bartleby.com/isbn_cover_images/9780133594140/9780133594140_smallCoverImage.gif)
Computer Networking: A Top-Down Approach (7th Edi…
Computer Engineering
ISBN:
9780133594140
Author:
James Kurose, Keith Ross
Publisher:
PEARSON
![Computer Organization and Design MIPS Edition, Fi…](https://www.bartleby.com/isbn_cover_images/9780124077263/9780124077263_smallCoverImage.gif)
Computer Organization and Design MIPS Edition, Fi…
Computer Engineering
ISBN:
9780124077263
Author:
David A. Patterson, John L. Hennessy
Publisher:
Elsevier Science
![Network+ Guide to Networks (MindTap Course List)](https://www.bartleby.com/isbn_cover_images/9781337569330/9781337569330_smallCoverImage.gif)
Network+ Guide to Networks (MindTap Course List)
Computer Engineering
ISBN:
9781337569330
Author:
Jill West, Tamara Dean, Jean Andrews
Publisher:
Cengage Learning
![Concepts of Database Management](https://www.bartleby.com/isbn_cover_images/9781337093422/9781337093422_smallCoverImage.gif)
Concepts of Database Management
Computer Engineering
ISBN:
9781337093422
Author:
Joy L. Starks, Philip J. Pratt, Mary Z. Last
Publisher:
Cengage Learning
![Prelude to Programming](https://www.bartleby.com/isbn_cover_images/9780133750423/9780133750423_smallCoverImage.jpg)
Prelude to Programming
Computer Engineering
ISBN:
9780133750423
Author:
VENIT, Stewart
Publisher:
Pearson Education
![Sc Business Data Communications and Networking, T…](https://www.bartleby.com/isbn_cover_images/9781119368830/9781119368830_smallCoverImage.gif)
Sc Business Data Communications and Networking, T…
Computer Engineering
ISBN:
9781119368830
Author:
FITZGERALD
Publisher:
WILEY