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borgWarp
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RNN > vanilla RNN > LSTM RNNとの違い?

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Recurrent Neural Networks (RNNs) 関連。

http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/


For now, just be aware of the fact that vanilla RNNs trained with BPTT have difficulties learning long-term dependencies (e.g. dependencies between steps that are far apart) due to what is called the vanishing/exploding gradient problem.


tutorialなどで耳にしてきたvanilla RNN。

http://stats.stackexchange.com/questions/226179/how-to-choose-between-plain-vanilla-rnn-and-lstm-rnn-when-modelling-a-time-serie


How to choose between plain vanilla RNN and LSTM RNN when modelling a time series?


という質問。

色々な回答やコメントがついている。

現段階では、LSTMはRNNの学習方法?のようなものと認識していたが、vanilla RNNとLSTM RNNという2種類のものがあるのだろうか。