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Remove mentions of 'uncompressing the data'.
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doc/lstm.txt

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@@ -26,8 +26,7 @@ While the dataset is public, in this tutorial we provide a copy of the dataset
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that has previously been preprocessed according to the needs of this LSTM
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implementation. You can download this preprocessed version of the dataset
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using the script `download.sh
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<https://raw.githubusercontent.com/lisa-lab/DeepLearningTutorials/master/data/download.sh>`_
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and uncompress it.
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<https://raw.githubusercontent.com/lisa-lab/DeepLearningTutorials/master/data/download.sh>`_.
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Model
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@@ -185,7 +184,7 @@ 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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After downloading both the scripts, downloading and uncompressing the data and
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After downloading both the scripts, downloading the data and
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putting all those files in the same folder, the user can run the code by
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calling:
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