~/talk

ML Kit: Machine learning for mobile developers

Talkat Firebase Summit 2018 · on Monday, 2018-10-29· [machine-learning]
links:none on file
links:none on file
slides:none on file

ML Kit shows concrete APIs and numbers: an on-device (400 labels) image labeler with no network, a cloud (10,000 labels) option with 1,000 free calls/month, and easy real‑time frame processing via FirebaseVisionImage and detector.detectInImage. Custom models upload as TensorFlow Lite to Firebase for serving and A/B via Remote Config. A compression demo claims shrinking an 80+ MB model to <1 MB with the model compression service. A flags classifier is retrained, deployed and correctly recognizes flags live.

AI-written summary · about

  1. 0:00Intro
  2. 2:27ML models
  3. 4:29Code
  4. 10:17Introduction
  5. 13:08Tensorflow model
  6. 14:04Getting started
  7. 15:48Transfer learning
  8. 17:11Model compression
  9. 18:37Recap
  10. 19:13Demo
~/search
type to search 6,249 conferences, 138,987 speakers and 185,172 talks
~/help
cmdctrl k
search every conference, speaker and series
/
focus the filter search
h
home
c
conferences
s
speakers
e
series
t
light / dark — the status bar button does the same
?
this help
esc
close this, then clear every filter — or just the search, while you are typing in it

Ignored while you are typing. Pages without a filter rail have no search to focus.