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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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You are given a CNN as a backbone/feature-extractor that takes a 120 x 120 RGB as input and
outputs a (55, 34,34) feature map. You are required to add a convolutional layer on top of this
feature map so that the output of your convolutional layer is (1000,1,1). As the answer to this
question, give the following details:
A. The number of filters in your proposed layer
B. The number of channels in each filter
C. The total number of trainable parameters in your layer, assuming that the filters are
trainable.
D. The activation function to use if you want to treat the output of your layer as a probability
distribution over 1000 classes
Transcribed Image Text:You are given a CNN as a backbone/feature-extractor that takes a 120 x 120 RGB as input and outputs a (55, 34,34) feature map. You are required to add a convolutional layer on top of this feature map so that the output of your convolutional layer is (1000,1,1). As the answer to this question, give the following details: A. The number of filters in your proposed layer B. The number of channels in each filter C. The total number of trainable parameters in your layer, assuming that the filters are trainable. D. The activation function to use if you want to treat the output of your layer as a probability distribution over 1000 classes
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