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1. It’s easy to train your own image classification model with an ESP32, and I did it in five minutes

   This article details how to train an image classification model on an ESP32 using both the SenseCraft AI platform and a custom TensorFlow Lite implementation. It covers setting up binary classification, training the model, and deploying it on ESP32-S3 devices.

   2025-12-01 Tags: esp32, tinyml, image classification, tensorflow lite, esp32-s3, machine learning, sensecraft ai, embedded systems by klotz
2. EdgeML Made Easy: Image Classification

   Learn how to perform image classification on edge devices like the Raspberry Pi using TensorFlow Lite and Mobilenet V2 models.

   2024-08-30 Tags: edgeml, image classification, raspberry pi, tensorflow lite, mobilenet v2 by klotz
3. Real-time ML Audio Noise Suppression on Raspberry Pi Pico

   Learn how to create a real-time machine learning audio noise suppression system using Python, TensorFlow Lite, and the Raspberry Pi Pico.

   2024-08-09 Tags: raspberry pi pico, machine learning, audio, noise suppression, tensorflow lite, python, dsp, ham radio, hacks by klotz
4. TensorFlow, Meet The ESP32. How to Set Up TensorFlow Lite for ESP32… | by Wezley Sherman | Towards Data Science

   2022-06-07 Tags: esp32, tensorflow, arduino, python, tensorflow lite, esp32-cam, machine learning by klotz
5. Build AI that works offline with Coral Dev Board, Edge TPU, and TensorFlow Lite

   2019-03-18 Tags: tensorflow, coral, google, edge, tpu, tensorflow lite by klotz
6. “Build AI that works offline with Coral Dev Board, Edge TPU, and TensorFlow Lite”

   2019-03-14 Tags: tensorflow, deep learning, edge, coral, google, tpu, tensorflow lite by klotz

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