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Batch norm and bidirectional flags
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examples/conf.yaml

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@@ -52,6 +52,8 @@ data:
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floatx: 'float32'
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model:
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use_bidirectional: false
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use_batch_norm: false
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shallow: False
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shallow_model:
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num_samples: 1000000 #1000000 #the number of samples to use for training

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