Exploring Machine Learning in Android: Using TensorFlow Lite for Mobile
As mobile apps become more advanced, machine learning is becoming increasingly popular in Android development. One of the most popular libraries for machine learning in Android is TensorFlow Lite. In this article, we'll explore how to use TensorFlow Lite to add machine learning capabilities to your Android app. First, you'll need to download and install the TensorFlow Lite library into your Android Studio project. Once you've done that, you can start using the TensorFlow Lite APIs to build machine learning models for your app. One of the most important parts of using TensorFlow Lite is defining your model. TensorFlow Lite models are typically defined in a format called TensorFlow Lite FlatBuffers, which is a binary format optimized for size and speed. Once you've defined your model, you can use the TensorFlow Lite Interpreter API to run it on your device. One of the most useful parts of TensorFlow Lite is its support for quantization. Quantization is a technique that