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1. (1%) An RGB image with size 2530 is flattened into a vector. What is the length of the
vector? 2. (1%) Assume you have a grayscale image I and a kernel K below:
I=0.00.00.50.61.00.90.00.60.40.60.00.00.50.61.00.01.00.00.70.30.01.00.51.01.00.20.01.00.31.00
.00.01.00.50.00.0K=(0110) What is the result of the convolution of K on I using valid padding
and stride 1 in all dimensions? 3. (1%) What is the result of the convolution of K on I using
same padding and stride 1 in all dimensions? 4. (1%) What is the result of applying max pooling
on I with a 22 kernel, valid padding, and stride 2 in all dimensions? 5. (1%) What is the result of
applying average pooling on I with a 22 kernel, valid padding and stride 2 in all dimensions?

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1. (1) An RGB image with size 25�30 is flattened into a vector. Wha.pdf

  • 1. 1. (1%) An RGB image with size 2530 is flattened into a vector. What is the length of the vector? 2. (1%) Assume you have a grayscale image I and a kernel K below: I=0.00.00.50.61.00.90.00.60.40.60.00.00.50.61.00.01.00.00.70.30.01.00.51.01.00.20.01.00.31.00 .00.01.00.50.00.0K=(0110) What is the result of the convolution of K on I using valid padding and stride 1 in all dimensions? 3. (1%) What is the result of the convolution of K on I using same padding and stride 1 in all dimensions? 4. (1%) What is the result of applying max pooling on I with a 22 kernel, valid padding, and stride 2 in all dimensions? 5. (1%) What is the result of applying average pooling on I with a 22 kernel, valid padding and stride 2 in all dimensions?