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(b) (13 marks) Convolutional Neural Networks (1) (6 marks) In one convolution layer, we have 8 filters of 3x3x3 applied to input volume 64x64x3 with

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(b) (13 marks) Convolutional Neural Networks (1) (6 marks) In one convolution layer, we have 8 filters of 3x3x3 applied to input volume 64x64x3 with stride 1 and pad 1. What is the size of the output volume? Give details of how you calculate the size of the output volume. (2) (7 marks) Using this example, explain how to apply the convolution operation to the input volume to get the output volume

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