Software Engineering Radio - the podcast for professional software developers Episode 479: Luis Ceze on the Apache TVM Machine Learning Compiler
Sep 29, 2021
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Introduction
00:00 • 2min
The Life Cycle of Machine Learning
02:11 • 3min
The Difference Between a Simple Machine Learning and a Complex Machine Learning Model?
05:06 • 3min
How to Optimize Your Models With TVM?
08:02 • 5min
How Complex Is That for a Linear Aggression Model?
12:39 • 3min
TvM: A Compiler That Takes in a Model and Gives You Talket Architecture
16:06 • 4min
Is the Lowest Level API Enabled in Machine Learning?
20:00 • 2min
Is There a Library of Model Descriptions?
21:38 • 2min
Is There a More Specifiable One Out There?
23:48 • 5min
Ss Radio Listeners, We Want to Hear From You!
28:40 • 2min
How to Estimate the Accuracy of a Machine Learning Model?
30:39 • 2min
Data Scientists Don't Have to Worry About Deployment
32:24 • 2min
How to Debug a Machine Leani Model?
34:15 • 3min
How to Deploy a Model on Multiple Architectures?
37:12 • 4min
Compilers and Correctness
41:07 • 3min
Is There a Hardware Designer in TV M?
43:41 • 2min
How to Package a Modo Into a Python Package
45:14 • 2min
Machine Learning - Where Do You See It Going in the Future?
46:45 • 5min