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

Опубликовано 16 февраля 2017, 2:44

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: goo.gl/MwVlVa

Visit the TensorFlow website for all session recordings: goo.gl/bsYmza

Subscribe to the Google Developers channel at goo.gl/mQyv5L


event: TensorFlow Dev Summit 2017; re_ty: Publish;