Wide & Deep Learning: Memorization + Generalization with TensorFlow (TensorFlow Dev Summit 2017)

Описание к видео Wide & Deep Learning: Memorization + Generalization with TensorFlow (TensorFlow Dev Summit 2017)

Wide models are great for memorization, deep models are great for generalization — why not combine them to create even better models? In this talk, Heng-Tze Cheng explains Wide and Deep networks and gives examples of how they can be used.

Check out our blog post, paper, YouTube video, TensorFlow tutorials: https://goo.gl/MwVlVa

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;

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