A Comprehensive Guide to TensorFlow Quantization

Related Article: Full Integer Quantization and Hybrid Quantization

Quantization is a powerful technique in machine learning that allows you to optimize your models for deployment on resource-constrained devices while maintaining acceptable performance. In this comprehensive guide, I will explore two key aspects of quantization in TensorFlow: Post-Training Quantization and Quantization-Aware Training (QAT). I will also demonstrate how to deploy quantized models in real-world use cases.