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

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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

drawing

Getting Started

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

Prerequisites

-numpy
-keras
-tqdm
-matplotlb

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License

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

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

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