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### 深層学習day3
**Section1：再帰型ニューラルネットワークの概念**
【要点】
再帰型ニューラルネットワーク(RNN)とは時間的順序を追って一定間隔ごとに観測され、相互に統計的依存関係が認められるデータ系列(時系列データ)に対応可能なニューラルネットワークである。
RNNの構成例を下記に示す。
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* Installed required packages.
* Executed `bash prepare_wiki.sh de`
* Executed …
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I try running the command ,
./rnnlm -rnnlm model_name -train train.txt -valid valid.txt -hidden 256 -hidden-type gru -nce 20 -alpha 0.01
and it occur the error:
entropy (bits) valid: -nan elap…
cjjjy updated
4 years ago
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Heya,
As I understand, RNNs are not yet in the project. If there's no current work on them, I'd like to look a bit into implementing them with rusty-machine. I'm still fairly new to both machine le…
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Hi,
I have been trying to repeat the experiment on world level ptb using unregularized LSTM. As reported in your paper, it gets to 114.5 on the test set. However, I have tried many times and only g…
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I think there is a need to allow iteration over previous training, and also to allow multiple threads during training. Overall the process is very slow. What are your thoughts about adapting http://ww…
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I get the following error running on Mac
[sscmf1jsg8wl /opt/LMCO/git/notebooks/no-git/RNN-Time-series-Anomaly-Detection] python 1_train_predictor.py --data ecg
=> Start…
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How to detect a cycle ?