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17. (12) Consider a CNN whose inputs are RGB color images of size 512 X 512 pixels. The network has two convolutional layers. Using this information, answer the following: a. You are told that the spatial dimensions of the feature maps in the Best Wayet we 504 504 and that there are 12 feature maps in the first layer. Assuming that no padding is used, m that the kernels used are square, and of an odd size, what are the spatial dimensions of these kernels? Answer: b. If subsampling is done using neighborhoods of size 2 * 2, what are the spatial dimensions of the pooled feature maps in the first layer? Answer: c. What is the depth (number) of the pooled feature maps in thve Guest layer? Answer: d. The spatial dimensions of the convolution kemels in the second layer are 3 x 3. Assuming mo padding, what are the sizes of the feature maps in the second layer? Answer: 17. (12) Consider a CNN whose inputs are RGB color images of size 512 X 512 pixels. The network has two convolutional layers. Using this information, answer the following: a. You are told that the spatial dimensions of the feature maps in the Best Wayet we 504 504 and that there are 12 feature maps in the first layer. Assuming that no padding is used, m that the kernels used are square, and of an odd size, what are the spatial dimensions of these kernels? Answer: b. If subsampling is done using neighborhoods of size 2 * 2, what are the spatial dimensions of the pooled feature maps in the first layer? Answer: c. What is the depth (number) of the pooled feature maps in thve Guest layer? Answer: d. The spatial dimensions of the convolution kemels in the second layer are 3 x 3. Assuming mo padding, what are the sizes of the feature maps in the second layer