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. Visit the TensorFlow website for all session recordings: https://goo.gl/bsYmza Subscribe to the Google Developers channel at http://goo.gl/mQyv5L event: TensorFlow Dev Summit 2017; re_ty: Publish;

Published 2017-02-16 · Watch on YouTube ↗
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