How can I optimize machine learning models for mobile applications?

How can I optimize machine learning models for mobile applications?

To optimize models for mobile apps, you can reduce model size, use quantization, and simplify architectures.

What is model quantization and how does it help?

Model quantization reduces the precision of the numbers used in the model, which decreases size and speeds up inference.

Are there specific frameworks that support model optimization for mobile?

Yes, frameworks like TensorFlow Lite and ONNX Runtime are designed for optimizing models for mobile devices.

What are some common pitfalls to avoid during optimization?

Common pitfalls include over-optimizing, which can lead to loss of accuracy, and not testing on actual devices.