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

152 Views

Thanks! Share it with your friends!

You disliked this video. Thanks for the feedback!

Published Feb 15, 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

Category: Tutorials

Be the first to comment

Sign in

Create your account

Add Video

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

Up Next