~/talk

Everything a Swift Dev Needs to Know About Machine Learning

Talkat try! Swift Tokyo 2017 · 2017-03-02..03-04· [machine-learning, swift]
slides:none on file

Company captures a short face video, runs computer vision + ML to fit a detailed 3D face model and then manufactures bespoke frames, so the pipeline actually produces real glasses. Model training happens in Python (TensorFlow) using pretrained nets like Inception v3 fine‑tuned on thousands of images; deployment options are server inference on AWS or on‑device inference with Metal Performance Shaders or by bundling TensorFlow. Rendering and AR compositing occur locally with SceneKit, currently rendering on phone after server inference.

AI-written summary · about

  1. 0:00Introduction
  2. 1:40What is Machine Learning
  3. 4:30Neural Networks
  4. 8:43Does this affect Swift
  5. 11:44Can I use TensorFlow and Swift
  6. 13:41Whats it like to work on ML
  7. 18:12How to get started
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