Optimizing Edge AI: From FP32 to INT8 with TensorFlow Lite Quantization
Deploying machine learning models to the cloud is easy, but it comes with a heavy price: latency, bandwidth costs, and privacy risks. When you move that logic to the edge—whether it’s a mobile phone…