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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