Skip to content

Latest commit

 

History

History
30 lines (22 loc) · 942 Bytes

File metadata and controls

30 lines (22 loc) · 942 Bytes

GAN-to-generate-fake-MNIST-like-images

This code implements a Generative Adversarial Network (GAN) to generate fake MNIST-like images Contents

Cells: 21 cells of code, markdown, and outputs.
Language: Python 3.11.0
Kernelspec: Python 3

Prerequisites

To run the notebook, you need to have the following installed:

Python 3.11.0
Jupyter Notebook

You can install the necessary packages using pip: pip install jupyter How to Run

1 Clone this repository:git clone https://github.com/yourusername/your-repo-name.git
2 Navigate to the project directory:cd your-repo-name
3 Start Jupyter Notebook:jupyter notebook

Notebook Overview

The notebook contains various sections, including:

Data loading and preprocessing
Exploratory data analysis
Model building and evaluation
Results visualization

Each section is documented with markdown cells explaining the purpose and the code implementation.