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Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.
7
votes
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answer
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Can someone please explain the truncated back propagation through time algorithm?
I am reading about RNNs and how to train them and I understood how back propagation works. I have the following model:
$$
h_t=f(Ah_{t-1}+ B x_t),\\
\hat{y}_t=g(C h_t).
$$
For a given sample $(x_1^T,y_ …
9
votes
2
answers
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Mathematical justification for using recurrent neural networks over feed-forward networks
I was wondering and trying to understand if there exists any mathematical reason behind the superiority of RNNs over Feed-forward networks when dealing with sequential data. For example when modeling …