4 things you should know before starting a project of Edge AI on Coral TPU
Machine Learning Inferencing through Coral USB Accelerator | by Vamsi Jakkula | FAUN — Developer Community 🐾
Coral USB Accelerator, TensorFlow Lite C++ API & Raspberry Pi for Edge TPU object detection - Mechatronics Blog
GitHub - google-coral/tflite: Examples using TensorFlow Lite API to run inference on Coral devices
GitHub - NobuoTsukamoto/tflite-cv-example: TensorFlow Lite, Coral Edge TPU samples (Python/C++, Raspberry Pi/Windows/Linux).
TensorFlow models on the Edge TPU | Coral
Build AI that works offline with Coral Dev Board, Edge TPU, and TensorFlow Lite — The TensorFlow Blog
Coral summer updates: Post-training quant support, TF Lite delegate, and new models! — Google for Developers Blog - News about Web, Mobile, AI and Cloud
Real-World ML with Coral: Manufacturing — The TensorFlow Blog
Speed up TensorFlow Lite Inferencing with Coral USB Accelerator | GPIO.CC Learning
Model inference comparison with TFlite & Coral USB Accelerator device | by Nicolas Bortolotti | Analytics Vidhya | Medium
Products | Coral
Running TensorFlow Lite at the Edge with Raspberry Pi, Google Coral, and Docker | by Paul Klinker | Star Gazers | Medium
Products | Coral
X-LINUX-AI - object detection using Coral Edge TPU TensorFlow Lite Python runtime - stm32mpu
Build AI that works offline with Coral Dev Board, Edge TPU, and TensorFlow Lite — The TensorFlow Blog
X-LINUX-AI - image classification using Coral Edge TPU TensorFlow Lite C++ API - stm32mpu
Edge TPU inferencing overview | Coral
The Deep Learning with USB Accelerator
Mustang-T100-T5 - Google Coral Edge TPU - Avnet Embedded
How to Use the Coral USB Accelerator with the Raspberry Pi - Increase TensorFlow Lite FPS! - YouTube
