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An efficient way to initialize the weight and the learning rate is:

An efficient way to initialize the weight and the learning rate is:

Computer Networking: A Top-Down Approach (7th Edition)
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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An efficient way to initialize the weight and the learning rate is: Select one: a. Weights will be initialized with uniform distribution with the zero mean and its variance and the learning rate is inversely proportional to the square root of the number of synaptic connections. b. Weights should be initialized to zero and the learning rate is very small c. Weights should be initialized to small random values and the learning rate is very small d. Weights should be initialized to large random values and the learning rate is very small e. Initialize both with random values
Transcribed Image Text:An efficient way to initialize the weight and the learning rate is: Select one: a. Weights will be initialized with uniform distribution with the zero mean and its variance and the learning rate is inversely proportional to the square root of the number of synaptic connections. b. Weights should be initialized to zero and the learning rate is very small c. Weights should be initialized to small random values and the learning rate is very small d. Weights should be initialized to large random values and the learning rate is very small e. Initialize both with random values
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