Exercise 10: Assume that you are trying to solve a binary classification problem with a feed-forward neural network. Assume that the training set has 1250 observations and 5 input features. Finally, assume that the network has only one layer of hidden neurons, and that layer contains 3 neurons. What is the total number of connections of the network? (Remark: to answer this question, you have to take into account also the threshold connections of each neuron). Answer 1. 9 Answer 2. 5 Answer 3. 22 Answer 4. 18

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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Chapter1: Computer Networks And The Internet
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Exercise 10: Assume that you are trying to solve a binary classification problem with a feed-forward
neural network. Assume that the training set has 1250 observations and 5 input features.
Finally, assume that the network has only one layer of hidden neurons, and that layer
contains 3 neurons. What is the total number of connections of the network? (Remark: to
answer this question, you have to take into account also the threshold connections of each
neuron).
Answer 1. 9
Answer 2. 5
Answer 3. 22
Answer 4. 18
Answer 5. 1255
Answer 6. 3
Answer 7. 1262
Answer 8. None of the other alternatives.
Answer 9. 13
Answer 10. 1250
Answer 11. 20
Answer 12. 1258
Transcribed Image Text:Exercise 10: Assume that you are trying to solve a binary classification problem with a feed-forward neural network. Assume that the training set has 1250 observations and 5 input features. Finally, assume that the network has only one layer of hidden neurons, and that layer contains 3 neurons. What is the total number of connections of the network? (Remark: to answer this question, you have to take into account also the threshold connections of each neuron). Answer 1. 9 Answer 2. 5 Answer 3. 22 Answer 4. 18 Answer 5. 1255 Answer 6. 3 Answer 7. 1262 Answer 8. None of the other alternatives. Answer 9. 13 Answer 10. 1250 Answer 11. 20 Answer 12. 1258
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