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Calculate the input and output dimension for each convolution and pooling layer in DeepSEA (100pts)

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Programming

Calculate the input and output dimension for each convolutionand pooling layer in DeepSEA (100pts)

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Input Outputdimensions in ConvultionInput Shape Give a 4D array as input to the CNN So input datahas a shape of batchsize height width depth wherethe first dimension represents the batch size ofthe image and the other three dimensions represent dimensions ofthe image which are height width and depth For some of you whoare wondering what is the depth of the image its nothing but thenumber of color channels For example an RGBimage would have a depth of 3 and the greyscaleimage would have a depth of 1Output Shape The output of the CNN is also a 4D array Wherebatch size would be the same as input batch sizebut the other 3 dimensions of the image might change depending uponthe values of    See Answer
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