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Backpropagation for a Linear Layer
cs231n.stanford.eduDuring the backward pass through the linear layer, we assume that the derivative @L @Y has already been computed. For example if the linear layer is part of a linear classi er, then the matrix Y gives class scores; these scores are fed to a loss function (such as the softmax or multiclass SVM loss) which computes the scalar loss L and derivative @L
CHOOSING A MIXED METHODS DESIGN - SAGE …
www.sagepub.comDue to our focus on planning mixed methods studies and the linear and fixed nature of printed text, our writing may appear to emphasize fixed designs. Keep in mind, however, that we recognize the importance and value of emergent mixed methods approaches. We …