difference between traingdm in patternnet vs sgdm in cnn
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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)
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