<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>mni-ml</title><description>A curriculum for understanding machine learning from scratch</description><link>https://mni-ml.pages.dev/</link><item><title>GPU-Accelerated Matrix Operations with WebGPU</title><link>https://mni-ml.pages.dev/articles/gpu-matrix-ops/</link><guid isPermaLink="true">https://mni-ml.pages.dev/articles/gpu-matrix-ops/</guid><description>Deep dive into WGSL compute shaders for matrix multiplication, memory layouts, and how TSTorch leverages WebGPU for tensor operations.</description><pubDate>Sat, 14 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Introduction to Automatic Differentiation</title><link>https://mni-ml.pages.dev/articles/intro-to-autodiff/</link><guid isPermaLink="true">https://mni-ml.pages.dev/articles/intro-to-autodiff/</guid><description>Exploring forward and reverse mode automatic differentiation, the chain rule, and building a minimal autograd engine in TypeScript.</description><pubDate>Tue, 10 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Gradient Descent</title><link>https://mni-ml.pages.dev/articles/gradient-descent/</link><guid isPermaLink="true">https://mni-ml.pages.dev/articles/gradient-descent/</guid><pubDate>Mon, 06 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Intro - What is ML</title><link>https://mni-ml.pages.dev/articles/introduction/</link><guid isPermaLink="true">https://mni-ml.pages.dev/articles/introduction/</guid><pubDate>Mon, 06 Apr 2026 00:00:00 GMT</pubDate></item></channel></rss>