<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Machine Learning on issledovatel</title><link>https://issledova.tel/tags/machine-learning/</link><description>Recent content in Machine Learning on issledovatel</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 Polina Shopina</copyright><lastBuildDate>Mon, 03 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://issledova.tel/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Neural Network Quantization Explained: FP16, INT8, PTQ and QAT</title><link>https://issledova.tel/posts/quantization/</link><pubDate>Fri, 08 May 2026 00:00:00 +0000</pubDate><guid>https://issledova.tel/posts/quantization/</guid><description>A visual guide to neural network quantization, from floating-point formats and affine quantization to PTQ, QAT and a MobileNetV2 benchmark.</description></item></channel></rss>