Editing Gradient descent (section)

== External links ==
{{Commons category|Gradient descent}}
* [http://codingplayground.blogspot.it/2013/05/learning-linear-regression-with.html Using gradient descent in C++, Boost, Ublas for linear regression]
* [https://www.khanacademy.org/math/multivariable-calculus/multivariable-derivatives/gradient-and-directional-derivatives/v/gradient Series of Khan Academy videos discusses gradient ascent]
* [http://neuralnetworksanddeeplearning.com/chap1.html#learning_with_gradient_descent Online book teaching gradient descent in deep neural network context]
* Archived at [https://ghostarchive.org/varchive/youtube/20211211/IHZwWFHWa-w Ghostarchive]{{cbignore}} and the [https://web.archive.org/web/20171016173155/https://www.youtube.com/watch?v=IHZwWFHWa-w Wayback Machine]{{cbignore}}: {{cite web |work=3Blue1Brown |title=Gradient Descent, How Neural Networks Learn |date=October 16, 2017 |url=https://www.youtube.com/watch?v=IHZwWFHWa-w&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi&index=2 |via=[[YouTube]] }}{{cbignore}}
* {{cite arXiv |eprint=2301.11235 |last1=Garrigos |first1=Guillaume |last2=Gower |first2=Robert M. |title=Handbook of Convergence Theorems for (Stochastic) Gradient Methods |date=2023 |class=math.OC }}

{{Artificial intelligence navbox}}
{{Optimization algorithms|unconstrained}}

{{DEFAULTSORT:Gradient Descent}}
[[Category:Mathematical optimization]]
[[Category:First order methods]]
[[Category:Optimization algorithms and methods]]
[[Category:Gradient methods]]