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Question 5: The input of a convolutional layer has shape 27 x 27 x 256 (width, height, depth). The layer uses 384 3 3 filters
Question 5: The input of a convolutional layer has shape 27 x 27 x 256 (width, height, depth). The layer uses 384 3 3 filters applied at stride 1 with zero padding. What is the shape of the output of the layer? How many parameters are there? How many float multiplication operations does it take to compute the net inputs of the all the output units
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