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Kyunghyun ChoKyunghyun Cho
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moved the dictionary description to dataset
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doc/lstm.txt

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@@ -27,6 +27,11 @@ that has previously been preprocessed according to the needs of this LSTM
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implementation. Running the code provided in this tutorial will automatically
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download the data to the local directory.
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Once the model is trained, you can test it with your own corpus using the
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word-index dictionary
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(`imdb.dict.pkl.gz <http://www.iro.umontreal.ca/~lisa/deep/data/imdb.dict.pkl.gz>`_)
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provided as a part of this tutorial.
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Model
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@@ -185,8 +190,6 @@ The LSTM implementation can be found in the two following files :
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* `imdb.py <http://deeplearning.net/tutorial/code/imdb.py>`_ : Secondary script. Handles the loading and preprocessing of the IMDB dataset.
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* `imdb.dict.pkl.gz <http://www.iro.umontreal.ca/~lisa/deep/data/imdb.dict.pkl.gz>`_ : Word-index dictionary. Use it to test a trained model on your own corpus.
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After downloading both scripts and putting both in the same folder, the user
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can run the code by calling:
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