tugot17 / Simple-Gan-In-Keras

Introduction to Generative Adversarial Networks on a pet example, created with Keras package

Simple Generative Adversarial Network

This Jupyter Notebook focuses on creating Simple GAN using Keras-Neural Network library. Using GAN I create "faked" Gaussian Distributions from radom data

Getting Started

To run it You need jupyter notebook installed. The main file is SimpleGanInKeras.ipynb

Prerequisites

-numpy
-keras
-tqdm
-matplotlb

Authors

• tugot17

License

This project is licensed under the MIT License - see the LICENSE.md file for details