Introducing Netspresso – For Really Fast Inference on Cortex-A Devices

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Presented by

Tae-Ho Kim, CTO & Co-Founder, Nota

About this talk

This talk takes you step-by-step through how Nota was able to compress different deep learning models on ARM devices including ResNet18 on Cortex-A72. By leveraging NetsPressso, a model compression platform built by Nota, you can optimize deep learning models in a range of environments and use cases with no learning curve. You will also get a detailed look at how this technology is a key component of commercialized lightweight deep learning models for facial recognition, intelligent transportation system, etc. If you need to deploy deep learning models on low-end devices, this talk is for you.

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