Could you help this part of the code
errD_real.backward(one)
there is no loss function. the D model is just returning the mean of the mini batch input. how the network is calculating the cost and computing the gradient?
Could you help this part of the code
errD_real.backward(one)
there is no loss function. the D model is just returning the mean of the mini batch input. how the network is calculating the cost and computing the gradient?