Lecture 16

May 23, 2019

Overview

  • ML pipeline review
  • Training and optimization review
    • Model update process
    • Model availability after training
  • Deployment Methods
    • Serving as inference
    • Updating model and parameters
    • Mixed models
    • Method comparison

Lecture Slides

CMPS290T_S19_L16

Lecture Video

Resources