difference between traingdm in patternnet vs sgdm in cnn

Are they the same method of training in differnet types of neural network or how are they different?

traingdm = gradienbt descent with momentum backpropagation (used in patternnet)

sgdm = stochastic gradient descent with momentum (used in convolutional neural network)