Demo 56: Steps to deploy tinyml (tensorflow lite) on esp32

Tech It Yourself 10:43 PM

Steps to deploy tinyml (tensorflow lite) on esp32:

- Using transfer learning from a pre-trained network

- Fine-tuning the model to achieve the best result

- Optional: Quantization

- Convert the model to CC code

- Implement inference code on esp32


Here is a demo that deploys MobileNetV1 on ESP32

https://github.com/nhatuan84/steps-tinyml-esp32



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1 Comments

Abaya said…
This is such a helpful guide! The steps for deploying TinyML on ESP32 are clear and easy to follow. I’m excited to try out transfer learning and fine-tuning my own model. Thanks for sharing this! Abaya collection
November 22, 2024 at 2:35 AM
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