The gan_mnist from masanbasa3k

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# GAN for MNIST

This repository contains code for a Generative Adversarial Network (GAN) designed to generate handwritten digits from the MNIST dataset.

## Repository Files

- `.gitattributes`: Configuration file for Git attributes.
- `.gitignore`: Specifies files and directories to be ignored by Git.
- `README.md`: The main documentation file explaining the repository and its contents.
- `classifier_model.h5`: Trained classification model for MNIST digits.
- `create_classification_model.py`: Script to create and train a classification model for MNIST digits.
- `create_generator_model.py`: Script to create and train the generator model of the GAN.
- `generate_img.py`: Script to generate images using the trained GAN.
- `generated_image.pickle`: Pickle file containing generated images.
- `generated_image.png`: PNG file of a sample generated image.
- `generator_model.h5`: Trained generator model of the GAN.
- `install_requirements.py`: Script to install the necessary dependencies for running the code.
- `predict_to_generated_image.py`: Script to generate images based on input predictions.
- `requirements.txt`: List of Python dependencies required for the project.

## Installation

1. Clone the repository:
   ```shell
   git clone https://github.com/masanbasa3k/GAN_mnist.git

Navigate to the project directory:
```
cd GAN_mnist
```
Run the install_requirements.py script to install the required dependencies:
```
python install_requirements.py
```

Usage

Training the Classification Model

Run the create_classification_model.py script to create and train the classification model for MNIST digits:
```
python create_classification_model.py
```

Training the Generator Model

Run the create_generator_model.py script to create and train the generator model of the GAN:
```
python create_generator_model.py
```

Generating Images

Run the generate_img.py script to generate images using the trained GAN:
```
python generate_img.py
```

Generating Images based on Predictions

Run the predict_to_generated_image.py script to generate images based on input predictions:
```
python predict_to_generated_image.py
```

Additional Information

The repository includes pre-trained models for both the classifier and generator, as classifier_model.h5 and generator_model.h5, respectively.
The generated images are saved as generated_image.pickle, which contains a Python object storing the generated images, and generated_image.png, which is a sample image rendered as a PNG file.
If you encounter any issues or have any questions, please create an issue in the GitHub repository.

Enjoy generating handwritten digits with GAN for MNIST!


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masanbasa3k / gan_mnist Goto Github PK

gan_mnist's Introduction

Usage

Training the Classification Model

Training the Generator Model

Generating Images

Generating Images based on Predictions

Additional Information

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