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:
Visit the TensorFlow website for all session recordings:
Subscribe to the Google Developers channel at
Check out our blog post, paper, YouTube video, TensorFlow tutorials:
Visit the TensorFlow website for all session recordings:
Subscribe to the Google Developers channel at
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