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

Slides [Link]

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