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ML for mobile engineers

ML for mobile engineers

Presenting the basics of machine learning for mobile engineers and the take aways from building a small pet project using ML.
This talk was presented at the Xcake meetup.

Avatar for Sergio Fraile

Sergio Fraile

October 08, 2019

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Transcript

  1. ML for mobile engineers Get a dataset Build a model

    Test your model First step: create a ML model Xcake
  2. ML for mobile engineers First step: create a ML model

    ML body Model Data Creation Fetching Manipulating Training (fit) Evaluation Inference (prediction) Xcake
  3. ML for mobile engineers Save your tf model Convert it

    into tf lite Add it to your platform Second step: Bring your model out Xcake
  4. ML for mobile engineers What is TF Lite Works on

    mobile and embedded devices Can optimize for certain devices There are unsupported operators from TF Xcake
  5. ML for mobile engineers We can play with it here

    Xcake https://github.com/sergiofraile/MNIST _Prediction_Playground
  6. ML for mobile engineers Data shape You need to know

    your data The first issues... Don’t believe what you see Xcake
  7. ML for mobile engineers Data shape Watch out results The

    first issues... Don’t believe what you see Xcake
  8. ML for mobile engineers Data shape Watch out results You

    need to know your data The first issues... Don’t believe what you see Xcake