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From Python to smartphones :
neural nets @ SAINT-GOBAIN
F. SAUSSET
PyParis 2017
WORKING @ SAINT-GOBAIN MAIN R&D CENTER
DATA SCIENCE TEAM
~ 15 people
Area of applications:
Marketing & sales
Industry
Building sciences
MORE & MORE PROJECTS FOR END-USERS
→ Development of smartphone applications
Low–level parts developped in the team
PYTHON: A SECOND CLASS CITIZEN ON MOBILE PLATFORMS
→ Write pure C/C++ code (to run on iOS & Android)
What about machine learning on mobiles ?
PYTHON FOR (ALMOST) EVERYTHING
NEURAL NETS @ SAINT-GOBAIN
FIRST ATTEMPTS 2 YEARS AGO
COULD BE APPLIED IN A LOT OF PLACES
Product recommendation (like on Netflix, Amazon, etc)
Natural language processing
Acoustics (classification, source separation, etc)
Façade semantization
Product design
…
AS PYTHONISTAS WE MAINLY PLAYED WITH KERAS + TENSORFLOW
NOW, FIRST PROTOTYPES IN THE PIPES THAT SHOULD RUN ON SMARTPHONES…
FACEBOOK
Caffe2Go
Announced @Web Summit 11/2016
Not yet released
Not very Python friendly
(pytorch in the meantime)
GOOGLE
Tensorflow Lite
Announced @Google I/O 5/2017
Not yet released, but…
Keras friendly
APPLE
Core ML
Announced @WWDC 2017 (last week)
Public release in september
Scikit-learn, Keras, caffe friendly !
ML FRAMEWORKS ON MOBILE
TENSORFLOW ON MOBILES
ANDROID (GPU) & IOS (CPU)
ON GITHUB SINCE 7/11/2015 (WITH ONE EXAMPLE)
NO DOCUMENTATION
NO EASY WAY TO EXTRACT THE TENSORFLOW LIB TO REUSE IN A PROJECT
SPECIFIC WAY TO SAVE THE MODEL
Any Tensorflow model could be used
But the protobuf file should include model structure + weights
No official documentation
…
AFTER SOME TINKERING,
WE MANAGE TO EXPORT ANY KERAS MODEL
TO A SUITABLE PROTOBUF FILE
https://gist.github.com/fsausset/57b99a3db5e1a05569845894ec385eef
PROTOTYPE APPLICATION
ANDROID (GPU)
ABLE TO LOAD ANY MODEL TRANSLATED FROM KERAS
SPECIFIC TEST OF ONE HOME-MADE ACOUSTIC
CLASSIFICATION MODEL
ALLOWS TO
Test if it works on mobiles
Test its speed: is it real time ?
Test model in the playground
Demo it easily
Put it in the hands of non-techies
Iterate fast to correct weaknesses not seen with the testing set
IT’S SO FUN TO CARRY IT WITH YOU EVERYWHERE
AND PLAY WITH IT !
A FEW TAKEAWAYS
AS ML & DL GOES OUT LABS,
PYTHON BECOMES THE DE FACTO STANDARD FOR IT
MOBILE ML & DL FRAMEWORKS ARE (REALLY) COMING !!!
EXPORT PYTHON BAKED MODELS TO MOBILE PLATFORMS IS NOW EASY
LOWER ENTRY TICKET → EXPLOSION OF ML/DL BASED MOBILE APPS
OPEN SOURCE IS AWESOME:
DIVE INTO GITHUB CODE, YOU COULD FIND GEMS !
& THEN CONTRIBUTE !

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From Python to smartphones: neural nets @ Saint-Gobain, François Sausset

  • 1. From Python to smartphones : neural nets @ SAINT-GOBAIN F. SAUSSET PyParis 2017
  • 2. WORKING @ SAINT-GOBAIN MAIN R&D CENTER DATA SCIENCE TEAM ~ 15 people Area of applications: Marketing & sales Industry Building sciences MORE & MORE PROJECTS FOR END-USERS → Development of smartphone applications Low–level parts developped in the team PYTHON: A SECOND CLASS CITIZEN ON MOBILE PLATFORMS → Write pure C/C++ code (to run on iOS & Android) What about machine learning on mobiles ? PYTHON FOR (ALMOST) EVERYTHING
  • 3. NEURAL NETS @ SAINT-GOBAIN FIRST ATTEMPTS 2 YEARS AGO COULD BE APPLIED IN A LOT OF PLACES Product recommendation (like on Netflix, Amazon, etc) Natural language processing Acoustics (classification, source separation, etc) Façade semantization Product design … AS PYTHONISTAS WE MAINLY PLAYED WITH KERAS + TENSORFLOW NOW, FIRST PROTOTYPES IN THE PIPES THAT SHOULD RUN ON SMARTPHONES…
  • 4. FACEBOOK Caffe2Go Announced @Web Summit 11/2016 Not yet released Not very Python friendly (pytorch in the meantime) GOOGLE Tensorflow Lite Announced @Google I/O 5/2017 Not yet released, but… Keras friendly APPLE Core ML Announced @WWDC 2017 (last week) Public release in september Scikit-learn, Keras, caffe friendly ! ML FRAMEWORKS ON MOBILE
  • 5. TENSORFLOW ON MOBILES ANDROID (GPU) & IOS (CPU) ON GITHUB SINCE 7/11/2015 (WITH ONE EXAMPLE) NO DOCUMENTATION NO EASY WAY TO EXTRACT THE TENSORFLOW LIB TO REUSE IN A PROJECT SPECIFIC WAY TO SAVE THE MODEL Any Tensorflow model could be used But the protobuf file should include model structure + weights No official documentation … AFTER SOME TINKERING, WE MANAGE TO EXPORT ANY KERAS MODEL TO A SUITABLE PROTOBUF FILE https://gist.github.com/fsausset/57b99a3db5e1a05569845894ec385eef
  • 6. PROTOTYPE APPLICATION ANDROID (GPU) ABLE TO LOAD ANY MODEL TRANSLATED FROM KERAS SPECIFIC TEST OF ONE HOME-MADE ACOUSTIC CLASSIFICATION MODEL ALLOWS TO Test if it works on mobiles Test its speed: is it real time ? Test model in the playground Demo it easily Put it in the hands of non-techies Iterate fast to correct weaknesses not seen with the testing set IT’S SO FUN TO CARRY IT WITH YOU EVERYWHERE AND PLAY WITH IT !
  • 7. A FEW TAKEAWAYS AS ML & DL GOES OUT LABS, PYTHON BECOMES THE DE FACTO STANDARD FOR IT MOBILE ML & DL FRAMEWORKS ARE (REALLY) COMING !!! EXPORT PYTHON BAKED MODELS TO MOBILE PLATFORMS IS NOW EASY LOWER ENTRY TICKET → EXPLOSION OF ML/DL BASED MOBILE APPS OPEN SOURCE IS AWESOME: DIVE INTO GITHUB CODE, YOU COULD FIND GEMS ! & THEN CONTRIBUTE !