FAU Lecture Notes in Pattern Recognition

Gradient Descent and Back-tracking Line Search

An Introduction to Optimization using Gradient Descent

Andreas Maier
CodeX
Published in
13 min readApr 10, 2021

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Image under CC BY 4.0 from the Pattern Recognition Lecture

These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog and only minor manual modifications were performed. If you spot mistakes, please let us know!

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Welcome back to pattern recognition. Today we want to start talking a little bit about optimization and we’ll have a couple of refresher elements in case you don’t know that much about different ideas and optimization. You will see that they’re actually fairly simple and they will turn out to be quite useful for your further work and pattern recognition.

Image under CC BY 4.0 from the Pattern Recognition Lecture

So today’s topic is optimization and of course, this is crucial for many things in pattern…

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Andreas Maier
CodeX
Writer for

I do research in Machine Learning. My positions include being Prof @FAU_Germany, President @DataDonors, and Board Member for Science & Technology @TimeMachineEU