backpropagation through time (bptt)

Backpropagation through time (BPTT) is a method used in recurrent neural networks (RNNs) to train models by unfolding them through time and applying the backpropagation algorithm. It considers the flow of information across time steps to compute gradients and update model weights, enabling RNNs to learn sequences, patterns, and dependencies in sequential data.

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