Gradient Descent Optimization

A MATLAB package for numerous gradient descent optimization methods, such as Adam and RMSProp.

https://github.com/jrvmalik/gradient-descent

Version 1.0.0 (8.79 KB)
1K Downloads
(3)
29 Mar 2019

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To test the software, see the included script for a simple multi-layer perceptron.

The following optimization algorithms are implemented: AMSgrad, AdaMax, Adadelta, Adam, Delta-bar Delta, Nadam, and RMSprop.

Cite As

John Malik (2026). Gradient Descent Optimization (https://github.com/jrvmalik/gradient-descent), GitHub. Retrieved .

Acknowledgements

Inspired: Classic Optimization

Categories

Find more on Function Approximation and Clustering in Help Center and MATLAB Answers

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
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Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.