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;
Видео Wide & Deep Learning: Memorization + Generalization with TensorFlow (TensorFlow Dev Summit 2017) канала Google Developers
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;
Видео Wide & Deep Learning: Memorization + Generalization with TensorFlow (TensorFlow Dev Summit 2017) канала Google Developers
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