Backpropagation Through Time: What It Does and How to Do It

Abstract

Backpropagation is now the most widely used tool in the field of artificial neural networks. At the core of backpropagation is a method for calculating derivatives exactly and efficiently in any large system made up of elementary subsystems or calculations which are represented by known, differentiable functions; thus, backpropagation has many applications… (More)
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@inproceedings{Werbos1990BackpropagationTT, title={Backpropagation Through Time: What It Does and How to Do It}, author={Paul J. Werbos}, year={1990} }