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Introduction
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Classroom Contents
TinyML Talks - On-Device Model Fine-Tuning for Industrial Anomaly Detection Applications
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- 1 Introduction
- 2 Strategic Partners
- 3 TinyML Summit 2022
- 4 Tiny Multiplayer Series
- 5 Meetup Groups
- 6 Reminders
- 7 Next talk
- 8 Main event
- 9 Welcome
- 10 Company introduction
- 11 Partners
- 12 Maintenance types
- 13 Possible approaches
- 14 Project overview
- 15 Infineon extensive maintenance evaluation kit
- 16 Cloud architecture reference cloud architectures
- 17 Robust random cut
- 18 Pros and cons
- 19 Questions
- 20 Neural Networks
- 21 Demo
- 22 Question
- 23 Demonstration
- 24 Catastrophic forgetting
- 25 Our approach
- 26 Next steps
- 27 QA
- 28 Green Grass
- 29 Constantine
- 30 Response requirements
- 31 Random cut forest
- 32 Power support
- 33 Signal input
- 34 Anomalies
- 35 Statistical methods
- 36 Deployment
- 37 Custom layers
- 38 Q A
- 39 Thank you
- 40 Outro
