What is Quantization in Machine Learning?
Quantization in machine learning is a useful technique that optimizes neural network models. It works by reducing the precision of numbers used to represent a model’s parameters, like weights and activations. This process converts high-precision floating-point numbers to lower-precision formats, such as integers, which can significantly decrease model size and boost performance. By using quantization, … Read more >>