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Sequence Models and the RNN API (TensorFlow Dev Summit 2017)

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In this talk, Eugene Brevdo discusses the creation of flexible and high-performance sequence-to-sequence models. He covers reading and batching sequence data, the RNN API, fully dynamic calculation, fused RNN cells for optimizations for special cases, and dynamic decoding.
Check out the TensorFlow website for the livestream and all session recordings after the event:
Subscribe to the Google Developers channel at
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