in my case there's an error which tells that "dimension specified as 0 but tensor has no dimensions" can i know whats causing this error

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in my case there's an error which tells that "dimension specified as 0 but tensor has no dimensions" can i know whats causing this error

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i don't understand how did we get 320 as input to first dense layer is there any relation to find this input?

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Why we did the squeeze operation in forward function, can't we directly return x ?

Also what does the statement mean : losses in sigmoid function flattens and then improves?

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I cannot understand why we chose 1/ len(x) rather than 2/len(x) in gradient descent if we are doing partial derivative of cost function, am I missing something....?

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