Choose the most significant difference between the backpropagation process in

multi$-$layer neural networks and the training process in the logistic regression algorithm:

A$.$ deal with unsupervised learning vs$.$ supervised learning

B$.$ used with softmax function vs$.$ sigmoid function

C$.$ train networks with hidden layers vs$.$ without hidden layers

D$.$ used with gradient descent vs$.$ closed$-$form solution