Which of the following is incorrect regarding neural network training?

Labeled data is not required to calculate the binary cross entropy loss.

The deviation from correctness is measured in losses $($e$.$g$.,$ binary cross entropy$)$ to guide the adjustment of parameters.

The intelligence of neural networks comes from the parameters that were adjusted in the training process.

One method to adjust the parameters is stochastic gradient descent $($SGD$).$