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Merge pull request lisa-lab#67 from carriepl/sgd_in_lstm_tutorial
Add notice about using SGD in the LSTM tutorial
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doc/lstm.txt

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@@ -194,6 +194,11 @@ can run the code by calling:
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The script will automatically download the data and decompress it.
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**Note** : The provided code supports the Stochastic Gradient Descent (SGD),
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AdaDelta and RMSProp optimization methods. You are advised to use AdaDelta or
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RMSProp because SGD appears to performs poorly on this task with this
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particular model.
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Papers
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======
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