GitHub

dynamic_quantization_bert_tutorial.rst

To get the most of this tutorial, we suggest using this Colab Version. This will allow you to experiment with the information presented below. In this tutorial, we will apply the dynamic quantization ...
LinkedIn

Quantization in the context of deep learning and neural networks

Quantization in the context of deep learning and neural networks refers to the process of reducing the precision of the numbers used to represent model parameters (like weights and biases) and ...
GitHub

quark_docs_repo_onnx_tutorial_bf16_quantization.rst

In this documentation, AMD Quark is sometimes referred to simply as "Quark" for ease of reference. When you encounter the term "Quark" without the "AMD" prefix, it specifically refers to the AMD Quark ...
IEEE

Linearized Analysis and Quantization Error Minimization for Mid-Rise TDCs: A Tutorial

Abstract: The mid-rise time-to-digital converter (TDC), e.g., a binary (bang-bang) phase detector and other few-bit TDCs, is commonly used as the phase detector (PD) in a digital phase locked loop ...