What is model quantization in TensorFlow.js?

What is model quantization in TensorFlow.js?

Model quantization is a technique used to reduce the size of machine learning models in TensorFlow.js, making them faster and more efficient.

Why should I use model quantization?

Using model quantization can significantly decrease the model size and improve inference speed, especially on mobile and web applications.

How do I implement model quantization in my TensorFlow.js project?

You can implement model quantization by using the TensorFlow.js converter to convert your model and specify quantization options during the conversion process.

Are there any downsides to model quantization?

Yes, while quantization can improve performance, it may lead to a slight decrease in model accuracy, so it's important to evaluate the trade-offs.