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

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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