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mgs28svekars
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Update intermediate_source/char_rnn_classification_tutorial.py
Co-authored-by: Svetlana Karslioglu <[email protected]>
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intermediate_source/char_rnn_classification_tutorial.py

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@@ -251,7 +251,7 @@ def forward(self, line_tensor):
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###########################
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#We can then create a RNN with 57 input nodes, 128 hidden nodes and 18 outputs.
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# We can then create an RNN with 57 input nodes, 128 hidden nodes, and 18 outputs:
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n_hidden = 128
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rnn = CharRNN(n_letters, n_hidden, len(alldata.labels_uniq))

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