truncated+backpropagation+through+time+in+rnn
2024-12-07 02:34:37
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...RNN (HRED) with Truncated Backpropagation Through Time...
Both models are implemented using Truncated Backpropagation Through Time (Truncated BPTT). The truncated computation is carried out by splitting each document (dialogue) into shorter sequences (e.g. 80 tokens) and computing gradients for each sequence separately, such that the hidden state of the ...
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...Prediction Model with Truncated Real-Time Decomposition...
Recurrent neural network (RNN) is popular in wind speed prediction for its capacity of extracting features from sequences. Gated recurrent unit (GRU) is a modification of the naïve RNN cell, which introduces the update gate and the reset gate to control the information flow and then tackle ...
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