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Backpropagation, an abbreviation for "backward propagation of errors", is a common method of training artificial neural networks used in conjunction with an optimization method such as gradient descent.
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votes
Why back propagate through time in a RNN?
"Unfolding through time" is simply an application of the chain rule, $$\frac{dF(g(x), h(x), m(x))}{dx} = \frac{\partial F}{\partial g}\frac{dg}{dx} + \frac{\partial F}{\partial h}\frac{dh}{dx} + \frac …