Given a convolutional neural network (CNN) with a convolutional layer and a pooling layer as shown...
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Given a convolutional neural network (CNN) with a convolutional layer and a pooling layer as shown in Figure 2, the convolutional layer is a filter of size 3x3 with a stride of 1, and the pooling layer is an average pooling filter of size 2x2 with a stride of 1. Input image (7 x 6) 2 0 2 3 1 0 1 1 0 2 4 3 023100 400 30 1 0 2 1 1 0 2 2 3 0 1 3 3 002 100 Convolutional filter (3 x 3) with stride 1 131 200 -11-2 Average pool with 2 x 2 filter and stride 1 Figure 2 CNN architecture a) Given an input image of size 7x6 as shown above, please give the output after the convolutional layer and the output after the pooling layer. b) Suppose that a max pooling layer of size F XF with a stride S is applied over an input image of size W x H. Assume that W≥ F,H> F, (WF) %S = 0, (HF) %S = 0. Please calculate the size of the output image after the max pooling layer. (Show calculation details.) Given a convolutional neural network (CNN) with a convolutional layer and a pooling layer as shown in Figure 2, the convolutional layer is a filter of size 3x3 with a stride of 1, and the pooling layer is an average pooling filter of size 2x2 with a stride of 1. Input image (7 x 6) 2 0 2 3 1 0 1 1 0 2 4 3 023100 400 30 1 0 2 1 1 0 2 2 3 0 1 3 3 002 100 Convolutional filter (3 x 3) with stride 1 131 200 -11-2 Average pool with 2 x 2 filter and stride 1 Figure 2 CNN architecture a) Given an input image of size 7x6 as shown above, please give the output after the convolutional layer and the output after the pooling layer. b) Suppose that a max pooling layer of size F XF with a stride S is applied over an input image of size W x H. Assume that W≥ F,H> F, (WF) %S = 0, (HF) %S = 0. Please calculate the size of the output image after the max pooling layer. (Show calculation details.)
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Related Book For
Computer Architecture A Quantitative Approach
ISBN: 978-0123704900
4th edition
Authors: John L. Hennessy, David A. Patterson
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