Backpropagation Through Time

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Backpropagation Through Time (BPTT)

Backpropagation Through Time (paper) is the Backpropagation algorithm applied to Recurrent Neural Networks (RNNs). BPTT can be seen as the standard backpropagation algorithm applied to an RNN, where each time step represents a layer and the parameters are shared across layers. Because an RNN shares the same parameters across all time steps, the errors at one time step must be backpropagated “through time” to all previous time steps, hence the name. When dealing with long sequences (hundreds of inputs), a truncated version of BPTT is often used to reduce the computational cost. Truncated BPTT stops backpropagating the errors after a fixed number of steps. • Backpropagation Through Time: What It Does and How to Do It