Simulation in Modeling
Heather discusses the critical role of simulation in data preparation, particularly for edge cases where real-world testing could be risky. She emphasizes the importance of anticipating device limitations and adjusting modeling approaches accordingly, including quantization and feature adjustments, to ensure successful deployment. The conversation highlights the necessity of realistic simulations during the verification and validation stages to avoid potential failures.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Deploying Edge and Embedded AI Systems with Heather Gorr - 655
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