Q1: Choose the correct answer? 1. The network paralysis can be avoided by: a. increasing the step size training time d. reducing the number of the layers 2. The Backpropagation networks consists at least of: b. reducing the learning rate c. extending the a. three layers of neurons b. single layer of neurons c. two layers of neurons d. Four layer of neurons 3. The EBP method is used to train: a. Single layer feed forward network c. multilayer feed forward network b. two layer feed backward network d. multilayer feed backward network

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...
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Q1: Choose the correct answer?
1. The network paralysis can be avoided by:
a. increasing the step size
training time
d. reducing the number of the layers
2. The Backpropagation networks consists at least of:
a. three layers of neurons b. single layer of neurons c. two layers of neurons
d. Four layer of neurons
3. The EBP method is used to train:
b. reducing the learning rate
a. Single layer feed forward network
c. multilayer feed forward network
4. The popularity of the RBFN is due to
a. less number of layers. b. low weights
feeding
c. extending the
b. two layer feed backward network
d. multilayer feed backward network
c. short training time. d. backward
Transcribed Image Text:Q1: Choose the correct answer? 1. The network paralysis can be avoided by: a. increasing the step size training time d. reducing the number of the layers 2. The Backpropagation networks consists at least of: a. three layers of neurons b. single layer of neurons c. two layers of neurons d. Four layer of neurons 3. The EBP method is used to train: b. reducing the learning rate a. Single layer feed forward network c. multilayer feed forward network 4. The popularity of the RBFN is due to a. less number of layers. b. low weights feeding c. extending the b. two layer feed backward network d. multilayer feed backward network c. short training time. d. backward
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