https://github.com/ratikaewkam/gradientdescent

Develop a simple Gradient Descent algorithm
https://github.com/ratikaewkam/gradientdescent

gradient-descent mathematics python

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Develop a simple Gradient Descent algorithm

• Host: GitHub
• URL: https://github.com/ratikaewkam/gradientdescent
• Owner: ratikaewkam
• Created: 2024-03-02T18:12:42.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-03-11T16:44:57.000Z (8 months ago)
• Last Synced: 2024-03-11T17:56:55.854Z (8 months ago)
• Topics: gradient-descent, mathematics, python
• Language: Python
• Homepage:
• Size: 9.88 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Gradient Descent

Develop a simple Gradient Descent algorithm

![Page1](https://raw.githubusercontent.com/ratikaewkam/GradientDescent/main/document/Page1.png)

![Page2](https://raw.githubusercontent.com/ratikaewkam/GradientDescent/main/document/Page2.png)

### Example 1.1

**f(x) = ((x/7) - 2)^2 + 5**

![normal-rate](https://raw.githubusercontent.com/ratikaewkam/GradientDescent/main/gif/normal-rate.gif)

Example of using the Gradient Descent algorithm with a normal learning rate.

### Example 1.2

**f(x) = ((x/7) - 2)^2 + 5**

![high-rate](https://raw.githubusercontent.com/ratikaewkam/GradientDescent/main/gif/high-rate.gif)

Example of using the Gradient Descent algorithm with a high learning rate.

### Example 2

**f(x, y) = ((sin 2x)(cos 2y)) / 2**

![3D](https://raw.githubusercontent.com/ratikaewkam/GradientDescent/main/gif/3D.gif)

## Installation

Run the following command in the terminal

```bash

git clone https://github.com/ratikaewkam/GradientDescent.git

```

```bash

pip install -r requirements.txt

```

## Run

Run the following command in the terminal

```bash

cd 1

```

```bash

python main01.py

```

---

```bash

cd 2

```

```bash

python main02.py

```

Developed by [Rati Kaewkam](https://github.com/ratikaewkam)