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Hands-on with TensorFlow Lite
With TensorFlow Lite, you can use an existing model to quickly start building your first TensorFlow Lite-based application:
![](https://epubservercos.yuewen.com/0168D3/19470385701525706/epubprivate/OEBPS/Images/55e0c65f-d683-4dfa-bd69-ab50474e68db.png?sign=1738885629-AubzOvaYv6QxfWCMQ6FqARPvCH4M3xUj-0-7aabf758bae81d2180455e224a625a09)
Using TensorFlow Lite in real time consists of four steps:
- In the first step, we need to either use an existing model or prepare our own model and train it.
- Once the model is ready, it needs to be converted into .tflite format using converters.
- Then, we can write ops on top of it for any kind of optimization.
- You can start writing your hello world project.
Let's jump straight into the code from here.