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