Machine Learning Projects for Mobile Applications

Hands-on with TensorFlow Lite 

With TensorFlow Lite, you can use an existing model to quickly start building your first TensorFlow Lite-based application:

 Using TensorFlow Lite in real time consists of four steps:

1. In the first step, we need to either use an existing model or prepare our own model and train it.
2. Once the model is ready, it needs to be converted into .tflite format using converters.
3. Then, we can write ops on top of it for any kind of optimization.
4. You can start writing your hello world project.

Let's jump straight into the code from here.