https://github.com/fabriziomusacchio/gradient_descent

This repository contains the code for the blog post on Understanding gradient descent in machine learning. For further details, please refer to this post.
https://github.com/fabriziomusacchio/gradient_descent

animation gradient-descent machine-learning python simulation

Last synced: about 2 months ago
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This repository contains the code for the blog post on Understanding gradient descent in machine learning. For further details, please refer to this post.

• Host: GitHub
• URL: https://github.com/fabriziomusacchio/gradient_descent
• Owner: FabrizioMusacchio
• Created: 2023-07-12T15:59:28.000Z (almost 3 years ago)
• Default Branch: master
• Last Pushed: 2023-07-12T16:16:05.000Z (almost 3 years ago)
• Last Synced: 2025-01-12T17:25:06.104Z (over 1 year ago)
• Topics: animation, gradient-descent, machine-learning, python, simulation
• Language: Jupyter Notebook
• Homepage: https://www.fabriziomusacchio.com/blog/2023-03-27-gradient_descent/
• Size: 9.77 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Gradient Descent

This repository contains the code for the blog post on [Understanding gradient descent in machine learning](https://www.fabriziomusacchio.com/blog/2023-03-27-gradient_descent/). For further details, please refer to this  post.

You can run the notebooks in *Google Colab* or *Binder* by clicking on one of the buttons below:

One parameter problem:

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/FabrizioMusacchio/gradient_descent/blob/master/gradient_descent_demo_1D.ipynb)   [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/FabrizioMusacchio/Gradient_Descent/HEAD?labpath=gradient_descent_demo_1D.ipynb)

Two parameter problem:

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/FabrizioMusacchio/gradient_descent/blob/master/gradient_descent_demo_2D.ipynb)   [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/FabrizioMusacchio/Gradient_Descent/HEAD?labpath=gradient_descent_demo_2D.ipynb)

For reproducibility:

```powershell

conda create -n gradient_descent -y python=3.9

conda activate gradient_descent

conda install -y mamba

mamba install -y ipykernel numpy matplotlib ipywidgets notebook

```

## Acknowledgement

The main code is based on the blog post ["Visualizing the gradient descent method"](https://scipython.com/blog/visualizing-the-gradient-descent-method/) from [*scipython.com*](https://scipython.com).