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The architecture in the paper suggests unidirectional RNNs. Is there any reason why you used bidirectional RNNs in neural_transducer.py ?
The text was updated successfully, but these errors were encountered:
This was an arbitrary decision, without a specific reason other than bi-directional rnns are more expressive
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The architecture in the paper suggests unidirectional RNNs. Is there any reason why you used bidirectional RNNs in neural_transducer.py ?
The text was updated successfully, but these errors were encountered: