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Problem 2 ( 1 0 ) a ) If we have an input of size 1 0 1 0 , with 5 channels, and the
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a If we have an input of size with channels, and the output is of dimensions give two possible configurations of the weights and the layer. Can weights of dimension be used to get the output of the aforementioned dimensions? What about weights of dimension
b Let us say we have an input of size with channels. We first apply convolution with filters of dimension stride and no padding Then we apply convolution using filters of dimension stride and one padding Finally, we apply maxpooling using a filter of dimension What is the final dimension of the output?
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