GitHub - huaxiaozhong1/YourOwnModel-TfLite-RaspberryPi: An "AI-on-device" project walks with you through all necessary steps, from collecting your own data, creating and training your own Tensorflow model, generating your own Tensorflow-lite model ...
![GitHub - ShawnHymel/tflite-speech-recognition: Demo for training a convolutional neural network to classify words and deploy the model to a Raspberry Pi using TensorFlow Lite. GitHub - ShawnHymel/tflite-speech-recognition: Demo for training a convolutional neural network to classify words and deploy the model to a Raspberry Pi using TensorFlow Lite.](https://raw.githubusercontent.com/ShawnHymel/tflite-speech-recognition/master/Images/tflite-rpi-cover.jpg)
GitHub - ShawnHymel/tflite-speech-recognition: Demo for training a convolutional neural network to classify words and deploy the model to a Raspberry Pi using TensorFlow Lite.
![Image classification (persons, animals, other) on raspberry pi from pi-camera (with cycle while) using custom tflite model (output to terminal), TensorFlow Lite | by Alex G. | Medium Image classification (persons, animals, other) on raspberry pi from pi-camera (with cycle while) using custom tflite model (output to terminal), TensorFlow Lite | by Alex G. | Medium](https://miro.medium.com/v2/resize:fit:1200/1*PIXkqUXgakuCS9b8SVXklA.gif)