DCGAN-TensorFlow-Image-Gen

• An implementation of DCGAN in Keras on Tensorflow backend, to generate high-quality synthetic images from real images.

• Important TensorFlow implementation codes in Python3, created while learning and using in TensorFlow-2.

• Dataset Used: Fashion_MNIST

• Made on Kaggle Kernel.

Prerequisite

While Jupyter runs code in many programming languages, Python is a requirement (Python 3.3 or greater, or Python 2.7) for installing the JupyterLab or the classic Jupyter Notebook.

Installation

Use the package manager pip to install jupyter.

pip install notebook

Usage

To run the notebook, run the following command at the Terminal (Mac/Linux) or Command Prompt (Windows):

jupyter notebook

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT