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Overview of Quantization Dmytro Dzhulgakov
It's important to make efficient use of both server-side and on-device compute resources when developing ML applications. This is a brief description of HAWQV3, which is a Hessian AWare And, deep dive into PyTorch 1.0 with members of the core dev team including Soumith Chintala, Purdue ECE 595 Computer Vision for Embedded Systems was a short (5 week, Fall 2022) online graduate course. Are you planning to deploy a deep learning model on any edge device (microcontrollers, cell phone or wearable device)?
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Quantization - Dmytro Dzhulgakov
How to statically quantize a PyTorch model (Eager mode)
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Last Updated: May 27, 2026
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