Is the training method of a Convolutional Network still known as deep learning?

In papers such as ImageNet Classification with Deep Convolutional Neural Networks

http://www.cs.toronto.edu/~fritz/absps/imagenet.pdf

the training method seems to be basic backpropagation with stochastic gradient descent.

Even though CNNs are part of deep neural networks, is this purely because of the large number of hidden layers present? And does this mean that the backprop here falls under the category of deep learning because the network is deep, even though it does not follow the same pattern as the likes of a DBN using greedy layer wise training, a true deep learning technique?

Thanks for the help and advice.