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Hello.
**How to make predictions via LSTM type recurrent neural networks algorithm ???**
_We don't see anywhere in the documentation how to use LSTM-like recurrent neural networks._
**How do …
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Løsningsforslag:
1. Dan finansbilag på lige fod med placerede poster inkl. indikation af accuracy i vilkårligt ubrugt parameter i bilaget.
2. Fane på frontend med konteringsforslag til seneste bog…
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## 一言でいうと
RNNはLSTMとかの構造をいじるのが主流になっているけれど、入力を工夫した方がいいんじゃない?ということで、入力列を通常の文字列とそこから「粗い(Coarse)」情報を抽出したものとを並列で入力するモデルを提案している(=multi resolution)。
### 論文リンク
https://arxiv.org/abs/1606.00776
### …
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Suggested list of courses would be:
- An introduction to deep learning **
- How to train a neural network
- Regularisation in neural networks
- Deep Bayesian neural networks
- Conv…
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Hi @takuseno , Thanks for this amazing repo and its really helpful and really appreciate your efforts .
I could see key algorithms related to discrete and continuous action space are covered alre…
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https://arxiv.org/pdf/1511.06939.pdf
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### RNN 이해를 위한 자료:
* Understanding Hidden Memories of Recurrent Neural Networks
Yao Ming, Shaozu Cao, Ruixiang Zhang, Zhen Li, Yuanzhe Chen, Yangqiu Song, Huamin Qu
* https://kevinzakka.github.io/2…
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https://rupeshs.github.io/npainter
source https://github.com/rupeshs/npainter
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I am basically using word2vec for representing words as vectors and training the neural network with word vectors as input,
Code :
model.fit(X_train, trainY, validation_set=(X_test, testY),n_epoch=…