What is TensorFlow Lite?

TensorFlow Lite (TFLite) is an open-source library developed by Google designed to deploy machine learning models on edge devices such as mobile phones, embedded systems, and on-device platforms. It supports use cases like natural language processing and computer vision, allowing for on-device inference tasks such as image classification and object detection. TFLite helps optimize models for smaller sizes and lower latency, converting TensorFlow models into a .tflite format using the TensorFlow Lite Converter for efficient edge deployment. For those interested in computer vision applications, there are guides available for training custom models with YOLOv4 Tiny and deploying them on platforms like Android, iOS, or Raspberry Pi. Additionally, Roboflow provides an iOS SDK for deploying computer vision models to edge devices.