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
Rcreviews.lt is not the owner of this text/video/image/photo content, the real source of content is Youtube.com and user declared in this page publication as Youtube.com user,
if you have any question about video removal, what was shared by open community, please contact Youtube.com directly or report bad/not working video links directly to video owner on Youtube.com. Removed video from Youtube.com will also be removed from here.
Watch more videos
-
SnapMaker J1 IDEX 3d printer - double extruder workflow sample dual head print
#shorts Enjoy double extruder workflow satisfaction Music by: Gibran Alcocer - Idea 1 - piano c... -
Enduro Rally 2021 - Pabradė military base
Had a wonderful opportunity to be in a very dirty place on a badly rainy morning but with great a... -
HEE Wing F-01 Ultra Delta Wing 690mm - upgraded Mini AR Wing? Diatone Reaper 690
Heee Wiiiinggggg - an 690mm triangle wing, with big battery bay, and up to 220 km/h speeds! Easy...
Advertising