Suppose the input to a convolution NN is a 32 x 32 color image. We want to apply eight convolution filters to it, all with the shape 5 x 5. We are using Valid padding and a stride of two both vertically and horizontally. (a) What is the shape of the variable in which we store the filters' values? (b) What is the shape of the output of tf.nn.conv2d?

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
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Chapter1: Computer Networks And The Internet
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Suppose the input to a convolution NN is a 32
x 32 color image. We want to apply eight
convolution filters to it, all with the shape 5 x
5. We are using Valid padding and a stride of
two both vertically and horizontally. (a) What
is the shape of the variable in which we store
the filters' values? (b) What is the shape of the
output of tf.nn.conv2d?
Transcribed Image Text:Suppose the input to a convolution NN is a 32 x 32 color image. We want to apply eight convolution filters to it, all with the shape 5 x 5. We are using Valid padding and a stride of two both vertically and horizontally. (a) What is the shape of the variable in which we store the filters' values? (b) What is the shape of the output of tf.nn.conv2d?
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