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