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Study mode:
on
1
Intro
2
Overview
3
Machine Learning Workflow
4
Deployment Challenges
5
PML
6
Pfa
7
Example
8
Other Features
9
Open Source
10
Use Case
11
Current Status
12
Open Neural Network Exchange
13
Ionic Graph
14
Deep Learning
15
Traditional ML
16
Exporter Libraries
17
Onyx Ecosystem
18
Comparison
Description:
Explore the landscape of model deployment standards in this informative conference talk by Svetlana Levitan and Nick Pentreath from IBM. Gain insights into the machine learning workflow and the challenges associated with deployment. Discover key standards such as PMML and PFA, complete with practical examples and feature overviews. Learn about open-source initiatives and their importance in the field. Delve into use cases and current status updates for various standards, including the Open Neural Network Exchange (ONNX). Examine the Ionic Graph framework and its applications in deep learning and traditional machine learning. Investigate exporter libraries and the Onyx ecosystem. Conclude with a comprehensive comparison of different deployment standards, equipping you with the knowledge to contribute to this evolving field.

Compare, Contrast, Contribute: Model Deployment Standards and How You Can Help

Linux Foundation
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