1. Introduction to Quantization of Deep Models Quantization is a technique in machine learning, especially deep learning, that reduces the precision of the numbers used to represent a model’s parameters. By converting high-precision floating-point numbers to lower precision (such as 16-bit or 8-bit integers), quantization can significantly reduce the memory footprint and computational requirements of … Continue reading Quantization of Deep Models